{"context": "CREATE TABLE table_name_64 (position VARCHAR, first_election VARCHAR)", "sql_query": "select position from table_name_64 where first_election = '1988 as vice mayor 2009'", "question": "What is the Position of the person with a First Election of 1988 as Vice Mayor 2009?", "data_table": "{\n  \"table_name_64\": [\n    {\n      \"position\": \"mayor\",\n      \"first_election\": \"1988 as vice mayor 2009\"\n    },\n    {\n      \"position\": \"governor\",\n      \"first_election\": \"1996 as councilor 2004\"\n    },\n    {\n      \"position\": \"senator\",\n      \"first_election\": \"2001 as congressman 2010\"\n    },\n    {\n      \"position\": \"vice mayor\",\n      \"first_election\": \"2009 as councilor 2016\"\n    },\n    {\n      \"position\": \"councilor\",\n      \"first_election\": \"2010 as barangay captain 2019\"\n    },\n    {\n      \"position\": \"congressman\",\n      \"first_election\": \"2004 as vice mayor 2013\"\n    },\n    {\n      \"position\": \"president\",\n      \"first_election\": \"1986 as senator 1992\"\n    },\n    {\n      \"position\": \"vice president\",\n      \"first_election\": \"1992 as congressman 2001\"\n    },\n    {\n      \"position\": \"governor\",\n      \"first_election\": \"1998 as mayor 2007\"\n    },\n    {\n      \"position\": \"mayor\",\n      \"first_election\": \"2007 as councilor 2014\"\n    }\n  ]\n}", "idx": 31000}
{"context": "CREATE TABLE table_17503169_1 (district VARCHAR, republican VARCHAR)", "sql_query": "select count(district) from table_17503169_1 where republican = 'bob goodlatte'", "question": "How many districts had republican Bob Goodlatte as a candidate?", "data_table": "{\n  \"table_17503169_1\": [\n    {\n      \"district\": \"district a\",\n      \"republican\": \"bob goodlatte\"\n    },\n    {\n      \"district\": \"district b\",\n      \"republican\": \"john doe\"\n    },\n    {\n      \"district\": \"district c\",\n      \"republican\": \"bob goodlatte\"\n    },\n    {\n      \"district\": \"district d\",\n      \"republican\": \"jane smith\"\n    },\n    {\n      \"district\": \"district e\",\n      \"republican\": \"bob goodlatte\"\n    },\n    {\n      \"district\": \"district f\",\n      \"republican\": \"john doe\"\n    },\n    {\n      \"district\": \"district g\",\n      \"republican\": \"jane smith\"\n    },\n    {\n      \"district\": \"district h\",\n      \"republican\": \"bob goodlatte\"\n    },\n    {\n      \"district\": \"district i\",\n      \"republican\": \"john doe\"\n    },\n    {\n      \"district\": \"district j\",\n      \"republican\": \"jane smith\"\n    }\n  ]\n}", "idx": 31003}
{"context": "CREATE TABLE table_160728_4 (network VARCHAR, station VARCHAR)", "sql_query": "select network from table_160728_4 where station = 'tv3'", "question": "What station on the network is tv3?", "data_table": "{\n  \"table_160728_4\": [\n    {\n      \"network\": \"abc\",\n      \"station\": \"tv1\"\n    },\n    {\n      \"network\": \"nbc\",\n      \"station\": \"tv2\"\n    },\n    {\n      \"network\": \"cbs\",\n      \"station\": \"tv3\"\n    },\n    {\n      \"network\": \"fox\",\n      \"station\": \"tv4\"\n    },\n    {\n      \"network\": \"pbs\",\n      \"station\": \"tv5\"\n    },\n    {\n      \"network\": \"cnn\",\n      \"station\": \"tv6\"\n    },\n    {\n      \"network\": \"bbc\",\n      \"station\": \"tv7\"\n    },\n    {\n      \"network\": \"espn\",\n      \"station\": \"tv8\"\n    },\n    {\n      \"network\": \"hbo\",\n      \"station\": \"tv9\"\n    },\n    {\n      \"network\": \"mtv\",\n      \"station\": \"tv10\"\n    }\n  ]\n}", "idx": 31005}
{"context": "CREATE TABLE table_name_22 (time VARCHAR, opponent VARCHAR)", "sql_query": "select time from table_name_22 where opponent = 'tony mendoza'", "question": "What was the time for the event in which Tony Mendoza was the opponent?", "data_table": "{\n  \"table_name_22\": [\n    {\n      \"time\": \"2021-01-01 09:00:00\",\n      \"opponent\": \"tony mendoza\"\n    },\n    {\n      \"time\": \"2021-01-02 14:30:00\",\n      \"opponent\": \"john smith\"\n    },\n    {\n      \"time\": \"2021-01-03 18:15:00\",\n      \"opponent\": \"tony mendoza\"\n    },\n    {\n      \"time\": \"2021-01-04 10:45:00\",\n      \"opponent\": \"jane doe\"\n    },\n    {\n      \"time\": \"2021-01-05 16:20:00\",\n      \"opponent\": \"tony mendoza\"\n    },\n    {\n      \"time\": \"2021-01-06 11:10:00\",\n      \"opponent\": \"michael brown\"\n    },\n    {\n      \"time\": \"2021-01-07 13:45:00\",\n      \"opponent\": \"tony mendoza\"\n    },\n    {\n      \"time\": \"2021-01-08 19:30:00\",\n      \"opponent\": \"sarah wilson\"\n    },\n    {\n      \"time\": \"2021-01-09 08:20:00\",\n      \"opponent\": \"tony mendoza\"\n    },\n    {\n      \"time\": \"2021-01-10 15:00:00\",\n      \"opponent\": \"robert johnson\"\n    }\n  ]\n}", "idx": 31007}
{"context": "CREATE TABLE table_1618358_1 (year VARCHAR, over_total_tax_revenue__in__percentage_ VARCHAR)", "sql_query": "select year from table_1618358_1 where over_total_tax_revenue__in__percentage_ = '0.65'", "question": "During what years are the percentage over total tax revenue is 0.65?", "data_table": "{\n  \"table_1618358_1\": [\n    {\n      \"year\": \"2015\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.65\"\n    },\n    {\n      \"year\": \"2016\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.75\"\n    },\n    {\n      \"year\": \"2017\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.65\"\n    },\n    {\n      \"year\": \"2018\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.85\"\n    },\n    {\n      \"year\": \"2019\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.65\"\n    },\n    {\n      \"year\": \"2020\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.95\"\n    },\n    {\n      \"year\": \"2021\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.65\"\n    },\n    {\n      \"year\": \"2022\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.75\"\n    },\n    {\n      \"year\": \"2023\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.65\"\n    },\n    {\n      \"year\": \"2024\",\n      \"over_total_tax_revenue__in__percentage_\": \"0.85\"\n    }\n  ]\n}", "idx": 31008}
{"context": "CREATE TABLE table_name_88 (finals_qualification VARCHAR, season VARCHAR)", "sql_query": "select finals_qualification from table_name_88 where season = '2009-10'", "question": "What's the finals qualification during the 2009-10 season?", "data_table": "{\n  \"table_name_88\": [\n    {\n      \"finals_qualification\": \"qualified\",\n      \"season\": \"2009-10\"\n    },\n    {\n      \"finals_qualification\": \"not qualified\",\n      \"season\": \"2009-10\"\n    },\n    {\n      \"finals_qualification\": \"qualified\",\n      \"season\": \"2010-11\"\n    },\n    {\n      \"finals_qualification\": \"not qualified\",\n      \"season\": \"2010-11\"\n    },\n    {\n      \"finals_qualification\": \"qualified\",\n      \"season\": \"2011-12\"\n    },\n    {\n      \"finals_qualification\": \"not qualified\",\n      \"season\": \"2011-12\"\n    },\n    {\n      \"finals_qualification\": \"qualified\",\n      \"season\": \"2012-13\"\n    },\n    {\n      \"finals_qualification\": \"not qualified\",\n      \"season\": \"2012-13\"\n    },\n    {\n      \"finals_qualification\": \"qualified\",\n      \"season\": \"2013-14\"\n    },\n    {\n      \"finals_qualification\": \"not qualified\",\n      \"season\": \"2013-14\"\n    }\n  ]\n}", "idx": 31009}
{"context": "CREATE TABLE table_22344463_2 (date_of_birth VARCHAR, height VARCHAR, home_team VARCHAR)", "sql_query": "select date_of_birth from table_22344463_2 where height = '185cm' and home_team = 'heaton mersey'", "question": "If the height is 185cm and the home team is Heaton Mersey, what is the date of birth?", "data_table": "{\n  \"table_22344463_2\": [\n    {\n      \"date_of_birth\": \"1990-05-15\",\n      \"height\": \"180cm\",\n      \"home_team\": \"heaton mersey\"\n    },\n    {\n      \"date_of_birth\": \"1985-09-22\",\n      \"height\": \"185cm\",\n      \"home_team\": \"heaton mersey\"\n    },\n    {\n      \"date_of_birth\": \"1992-07-10\",\n      \"height\": \"175cm\",\n      \"home_team\": \"manchester united\"\n    },\n    {\n      \"date_of_birth\": \"1988-03-27\",\n      \"height\": \"190cm\",\n      \"home_team\": \"manchester city\"\n    },\n    {\n      \"date_of_birth\": \"1994-11-03\",\n      \"height\": \"180cm\",\n      \"home_team\": \"arsenal\"\n    },\n    {\n      \"date_of_birth\": \"1991-01-18\",\n      \"height\": \"185cm\",\n      \"home_team\": \"liverpool\"\n    },\n    {\n      \"date_of_birth\": \"1987-12-05\",\n      \"height\": \"170cm\",\n      \"home_team\": \"chelsea\"\n    },\n    {\n      \"date_of_birth\": \"1993-08-12\",\n      \"height\": \"175cm\",\n      \"home_team\": \"tottenham hotspur\"\n    },\n    {\n      \"date_of_birth\": \"1989-06-29\",\n      \"height\": \"195cm\",\n      \"home_team\": \"everton\"\n    },\n    {\n      \"date_of_birth\": \"1996-04-14\",\n      \"height\": \"180cm\",\n      \"home_team\": \"leicester city\"\n    }\n  ]\n}", "idx": 31010}
{"context": "CREATE TABLE table_12434380_1 (school_colors VARCHAR, main_campus_location VARCHAR)", "sql_query": "select count(school_colors) from table_12434380_1 where main_campus_location = 'highland'", "question": "How many school colors is there for the main campus location of highland?", "data_table": "{\n  \"table_12434380_1\": [\n    {\n      \"school_colors\": \"red\",\n      \"main_campus_location\": \"highland\"\n    },\n    {\n      \"school_colors\": \"blue\",\n      \"main_campus_location\": \"highland\"\n    },\n    {\n      \"school_colors\": \"green\",\n      \"main_campus_location\": \"lowland\"\n    },\n    {\n      \"school_colors\": \"yellow\",\n      \"main_campus_location\": \"highland\"\n    },\n    {\n      \"school_colors\": \"purple\",\n      \"main_campus_location\": \"lowland\"\n    },\n    {\n      \"school_colors\": \"orange\",\n      \"main_campus_location\": \"highland\"\n    },\n    {\n      \"school_colors\": \"black\",\n      \"main_campus_location\": \"lowland\"\n    },\n    {\n      \"school_colors\": \"white\",\n      \"main_campus_location\": \"highland\"\n    },\n    {\n      \"school_colors\": \"pink\",\n      \"main_campus_location\": \"lowland\"\n    },\n    {\n      \"school_colors\": \"brown\",\n      \"main_campus_location\": \"highland\"\n    }\n  ]\n}", "idx": 31012}
{"context": "CREATE TABLE table_name_4 (score VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_4 where date = '26 may 1997'", "question": "Name the score for 26 may 1997", "data_table": "{\n  \"table_name_4\": [\n    {\n      \"score\": \"85\",\n      \"date\": \"26 may 1997\"\n    },\n    {\n      \"score\": \"92\",\n      \"date\": \"26 may 1997\"\n    },\n    {\n      \"score\": \"78\",\n      \"date\": \"27 may 1997\"\n    },\n    {\n      \"score\": \"90\",\n      \"date\": \"27 may 1997\"\n    },\n    {\n      \"score\": \"79\",\n      \"date\": \"28 may 1997\"\n    },\n    {\n      \"score\": \"88\",\n      \"date\": \"28 may 1997\"\n    },\n    {\n      \"score\": \"81\",\n      \"date\": \"29 may 1997\"\n    },\n    {\n      \"score\": \"95\",\n      \"date\": \"29 may 1997\"\n    },\n    {\n      \"score\": \"87\",\n      \"date\": \"30 may 1997\"\n    },\n    {\n      \"score\": \"93\",\n      \"date\": \"30 may 1997\"\n    }\n  ]\n}", "idx": 31013}
{"context": "CREATE TABLE table_name_33 (date VARCHAR, record VARCHAR)", "sql_query": "select date from table_name_33 where record = '48-21-6'", "question": "What was the date of the game that led to a 48-21-6 record?", "data_table": "{\n  \"table_name_33\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"record\": \"48-21-6\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"record\": \"48-21-6\"\n    }\n  ]\n}", "idx": 31015}
{"context": "CREATE TABLE table_name_91 (home_team VARCHAR, attendance VARCHAR)", "sql_query": "select home_team from table_name_91 where attendance = '160'", "question": "Which Home team had attendance 160?", "data_table": "{\n  \"table_name_91\": [\n    {\n      \"home_team\": \"team a\",\n      \"attendance\": \"160\"\n    },\n    {\n      \"home_team\": \"team b\",\n      \"attendance\": \"200\"\n    },\n    {\n      \"home_team\": \"team c\",\n      \"attendance\": \"160\"\n    },\n    {\n      \"home_team\": \"team d\",\n      \"attendance\": \"180\"\n    },\n    {\n      \"home_team\": \"team e\",\n      \"attendance\": \"200\"\n    },\n    {\n      \"home_team\": \"team f\",\n      \"attendance\": \"160\"\n    },\n    {\n      \"home_team\": \"team g\",\n      \"attendance\": \"180\"\n    },\n    {\n      \"home_team\": \"team h\",\n      \"attendance\": \"200\"\n    },\n    {\n      \"home_team\": \"team i\",\n      \"attendance\": \"160\"\n    },\n    {\n      \"home_team\": \"team j\",\n      \"attendance\": \"180\"\n    }\n  ]\n}", "idx": 31017}
{"context": "CREATE TABLE table_name_42 (catalog VARCHAR, region VARCHAR)", "sql_query": "select catalog from table_name_42 where region = 'france'", "question": "What is the Catalog number in the Region of France?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"catalog\": \"electronics\",\n      \"region\": \"france\"\n    },\n    {\n      \"catalog\": \"furniture\",\n      \"region\": \"germany\"\n    },\n    {\n      \"catalog\": \"books\",\n      \"region\": \"france\"\n    },\n    {\n      \"catalog\": \"clothing\",\n      \"region\": \"italy\"\n    },\n    {\n      \"catalog\": \"home appliances\",\n      \"region\": \"france\"\n    },\n    {\n      \"catalog\": \"toys\",\n      \"region\": \"spain\"\n    },\n    {\n      \"catalog\": \"beauty\",\n      \"region\": \"france\"\n    },\n    {\n      \"catalog\": \"sports\",\n      \"region\": \"france\"\n    },\n    {\n      \"catalog\": \"food\",\n      \"region\": \"france\"\n    },\n    {\n      \"catalog\": \"automotive\",\n      \"region\": \"france\"\n    }\n  ]\n}", "idx": 31018}
{"context": "CREATE TABLE table_name_81 (comp VARCHAR, score VARCHAR)", "sql_query": "select comp from table_name_81 where score = '393'", "question": "What's the comp when the score was 393?", "data_table": "{\n  \"table_name_81\": [\n    {\n      \"comp\": \"abc company\",\n      \"score\": \"393\"\n    },\n    {\n      \"comp\": \"xyz corporation\",\n      \"score\": \"200\"\n    },\n    {\n      \"comp\": \"def industries\",\n      \"score\": \"393\"\n    },\n    {\n      \"comp\": \"ghi group\",\n      \"score\": \"100\"\n    },\n    {\n      \"comp\": \"jkl enterprises\",\n      \"score\": \"500\"\n    },\n    {\n      \"comp\": \"mno ltd\",\n      \"score\": \"200\"\n    },\n    {\n      \"comp\": \"pqr co\",\n      \"score\": \"393\"\n    },\n    {\n      \"comp\": \"stu corporation\",\n      \"score\": \"500\"\n    },\n    {\n      \"comp\": \"vwx industries\",\n      \"score\": \"100\"\n    },\n    {\n      \"comp\": \"yza group\",\n      \"score\": \"200\"\n    }\n  ]\n}", "idx": 31019}
{"context": "CREATE TABLE table_26914076_2 (no VARCHAR, directed_by VARCHAR)", "sql_query": "select no from table_26914076_2 where directed_by = 'simon cellan jones'", "question": "Name the number for simon cellan jones", "data_table": "{\n  \"table_26914076_2\": [\n    {\n      \"no\": \"1\",\n      \"directed_by\": \"simon cellan jones\"\n    },\n    {\n      \"no\": \"2\",\n      \"directed_by\": \"james marsh\"\n    },\n    {\n      \"no\": \"3\",\n      \"directed_by\": \"david fincher\"\n    },\n    {\n      \"no\": \"4\",\n      \"directed_by\": \"martin scorsese\"\n    },\n    {\n      \"no\": \"5\",\n      \"directed_by\": \"christopher nolan\"\n    },\n    {\n      \"no\": \"6\",\n      \"directed_by\": \"steven spielberg\"\n    },\n    {\n      \"no\": \"7\",\n      \"directed_by\": \"alfonso cuaron\"\n    },\n    {\n      \"no\": \"8\",\n      \"directed_by\": \"quentin tarantino\"\n    },\n    {\n      \"no\": \"9\",\n      \"directed_by\": \"ridley scott\"\n    },\n    {\n      \"no\": \"10\",\n      \"directed_by\": \"peter jackson\"\n    }\n  ]\n}", "idx": 31020}
{"context": "CREATE TABLE table_name_68 (year INTEGER, nominated_work VARCHAR, event VARCHAR)", "sql_query": "select max(year) from table_name_68 where nominated_work = 'herself' and event = 'mtv movie awards'", "question": "What year was Herself nominated at the MTV Movie Awards?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"year\": 2015,\n      \"nominated_work\": \"the fault in our stars\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2016,\n      \"nominated_work\": \"deadpool\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2017,\n      \"nominated_work\": \"wonder woman\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2018,\n      \"nominated_work\": \"black panther\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2019,\n      \"nominated_work\": \"avengers: endgame\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2020,\n      \"nominated_work\": \"joker\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2021,\n      \"nominated_work\": \"birds of prey\",\n      \"event\": \"mtv movie awards\"\n    },\n    {\n      \"year\": 2017,\n      \"nominated_work\": \"la la land\",\n      \"event\": \"oscars\"\n    },\n    {\n      \"year\": 2018,\n      \"nominated_work\": \"the shape of water\",\n      \"event\": \"oscars\"\n    },\n    {\n      \"year\": 2019,\n      \"nominated_work\": \"parasite\",\n      \"event\": \"oscars\"\n    }\n  ]\n}", "idx": 31021}
{"context": "CREATE TABLE table_27700530_15 (high_points VARCHAR, date VARCHAR)", "sql_query": "select high_points from table_27700530_15 where date = 'april 22'", "question": "Who had the most points and how many did they have on April 22? ", "data_table": "{\n  \"table_27700530_15\": [\n    {\n      \"high_points\": \"mount everest\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"k2\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"matterhorn\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"kilimanjaro\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"denali\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"aconcagua\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"mont blanc\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"mount vinson\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"puncak jaya\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"high_points\": \"elbrus\",\n      \"date\": \"april 22\"\n    }\n  ]\n}", "idx": 31022}
{"context": "CREATE TABLE table_name_84 (score VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_84 where date = '15/6/03'", "question": "What was the score for the date of 15/6/03", "data_table": "{\n  \"table_name_84\": [\n    {\n      \"score\": \"85\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"92\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"78\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"90\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"88\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"79\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"87\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"83\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"91\",\n      \"date\": \"15/6/03\"\n    },\n    {\n      \"score\": \"84\",\n      \"date\": \"15/6/03\"\n    }\n  ]\n}", "idx": 31023}
{"context": "CREATE TABLE table_name_26 (round VARCHAR, opponent VARCHAR)", "sql_query": "select round from table_name_26 where opponent = 'joe stevenson'", "question": "What was the round when he fought Joe Stevenson?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"round\": \"1\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"2\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"3\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"4\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"5\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"6\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"7\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"8\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"9\",\n      \"opponent\": \"joe stevenson\"\n    },\n    {\n      \"round\": \"10\",\n      \"opponent\": \"joe stevenson\"\n    }\n  ]\n}", "idx": 31024}
{"context": "CREATE TABLE table_name_78 (apparent_magnitude VARCHAR, object_type VARCHAR)", "sql_query": "select apparent_magnitude from table_name_78 where object_type = 'globular cluster'", "question": "What is the Apparent magnitude of a globular cluster?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"apparent_magnitude\": \"3.5\",\n      \"object_type\": \"star\"\n    },\n    {\n      \"apparent_magnitude\": \"2.1\",\n      \"object_type\": \"star\"\n    },\n    {\n      \"apparent_magnitude\": \"4.8\",\n      \"object_type\": \"galaxy\"\n    },\n    {\n      \"apparent_magnitude\": \"6.2\",\n      \"object_type\": \"galaxy\"\n    },\n    {\n      \"apparent_magnitude\": \"1.9\",\n      \"object_type\": \"globular cluster\"\n    },\n    {\n      \"apparent_magnitude\": \"5.7\",\n      \"object_type\": \"globular cluster\"\n    },\n    {\n      \"apparent_magnitude\": \"2.3\",\n      \"object_type\": \"nebula\"\n    },\n    {\n      \"apparent_magnitude\": \"4.6\",\n      \"object_type\": \"nebula\"\n    },\n    {\n      \"apparent_magnitude\": \"3.1\",\n      \"object_type\": \"quasar\"\n    },\n    {\n      \"apparent_magnitude\": \"5.9\",\n      \"object_type\": \"quasar\"\n    }\n  ]\n}", "idx": 31025}
{"context": "CREATE TABLE table_name_14 (date VARCHAR, city VARCHAR)", "sql_query": "select date from table_name_14 where city = 'novi sad'", "question": "When did the city of Novi Sad participate?", "data_table": "{\n  \"table_name_14\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"city\": \"novi sad\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"city\": \"belgrade\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"city\": \"novi sad\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"city\": \"nis\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"city\": \"novi sad\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"city\": \"kragujevac\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"city\": \"novi sad\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"city\": \"subotica\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"city\": \"novi sad\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"city\": \"novi pazar\"\n    }\n  ]\n}", "idx": 31026}
{"context": "CREATE TABLE table_name_43 (time_retired VARCHAR, rider VARCHAR)", "sql_query": "select time_retired from table_name_43 where rider = 'olivier jacque'", "question": "What is Olivier Jacque's Time/Retired?", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"time_retired\": \"2019-01-01\",\n      \"rider\": \"olivier jacque\"\n    },\n    {\n      \"time_retired\": \"2018-05-12\",\n      \"rider\": \"valentino rossi\"\n    },\n    {\n      \"time_retired\": \"2020-09-30\",\n      \"rider\": \"marc marquez\"\n    },\n    {\n      \"time_retired\": \"2017-07-22\",\n      \"rider\": \"jorge lorenzo\"\n    },\n    {\n      \"time_retired\": \"2016-11-11\",\n      \"rider\": \"casey stoner\"\n    },\n    {\n      \"time_retired\": \"2021-03-17\",\n      \"rider\": \"andrea dovizioso\"\n    },\n    {\n      \"time_retired\": \"2015-09-05\",\n      \"rider\": \"dani pedrosa\"\n    },\n    {\n      \"time_retired\": \"2014-04-28\",\n      \"rider\": \"ben spies\"\n    },\n    {\n      \"time_retired\": \"2013-06-19\",\n      \"rider\": \"nick hayden\"\n    },\n    {\n      \"time_retired\": \"2012-08-03\",\n      \"rider\": \"casey stoner\"\n    }\n  ]\n}", "idx": 31027}
{"context": "CREATE TABLE table_name_30 (home_team VARCHAR, score VARCHAR)", "sql_query": "select home_team from table_name_30 where score = '5 - 5'", "question": "What home team has a score of 5 - 5?", "data_table": "{\n  \"table_name_30\": [\n    {\n      \"home_team\": \"team a\",\n      \"score\": \"5 - 5\"\n    },\n    {\n      \"home_team\": \"team b\",\n      \"score\": \"2 - 1\"\n    },\n    {\n      \"home_team\": \"team c\",\n      \"score\": \"3 - 2\"\n    },\n    {\n      \"home_team\": \"team d\",\n      \"score\": \"4 - 3\"\n    },\n    {\n      \"home_team\": \"team e\",\n      \"score\": \"1 - 0\"\n    },\n    {\n      \"home_team\": \"team f\",\n      \"score\": \"6 - 4\"\n    },\n    {\n      \"home_team\": \"team g\",\n      \"score\": \"0 - 0\"\n    },\n    {\n      \"home_team\": \"team h\",\n      \"score\": \"2 - 2\"\n    },\n    {\n      \"home_team\": \"team i\",\n      \"score\": \"3 - 1\"\n    },\n    {\n      \"home_team\": \"team j\",\n      \"score\": \"4 - 2\"\n    }\n  ]\n}", "idx": 31028}
{"context": "CREATE TABLE table_12441518_1 (recurring_cast_seasons VARCHAR, character VARCHAR)", "sql_query": "select recurring_cast_seasons from table_12441518_1 where character = 'nick lucas'", "question": "What seasons does Nick Lucas appear in?", "data_table": "{\n  \"table_12441518_1\": [\n    {\n      \"recurring_cast_seasons\": \"season 1\",\n      \"character\": \"nick lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 2\",\n      \"character\": \"nick lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 3\",\n      \"character\": \"nick lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 4\",\n      \"character\": \"nick lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 5\",\n      \"character\": \"nick lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 1\",\n      \"character\": \"joe lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 2\",\n      \"character\": \"joe lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 3\",\n      \"character\": \"joe lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 4\",\n      \"character\": \"joe lucas\"\n    },\n    {\n      \"recurring_cast_seasons\": \"season 5\",\n      \"character\": \"joe lucas\"\n    }\n  ]\n}", "idx": 31029}
{"context": "CREATE TABLE table_name_64 (frequency VARCHAR, voltage VARCHAR, part_number_s_ VARCHAR)", "sql_query": "select frequency from table_name_64 where voltage = '1.6v' and part_number_s_ = 'kp80524kx300256kc80524kx300256pmg30002002aa'", "question": "Which frequency has voltage of 1.6v and part number kp80524kx300256kc80524kx300256pmg30002002aa?", "data_table": "{\n  \"table_name_64\": [\n    {\n      \"frequency\": \"100mhz\",\n      \"voltage\": \"1.6v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002aa\"\n    },\n    {\n      \"frequency\": \"200mhz\",\n      \"voltage\": \"1.8v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ab\"\n    },\n    {\n      \"frequency\": \"300mhz\",\n      \"voltage\": \"2.0v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ac\"\n    },\n    {\n      \"frequency\": \"400mhz\",\n      \"voltage\": \"1.6v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ad\"\n    },\n    {\n      \"frequency\": \"500mhz\",\n      \"voltage\": \"1.8v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ae\"\n    },\n    {\n      \"frequency\": \"600mhz\",\n      \"voltage\": \"2.0v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002af\"\n    },\n    {\n      \"frequency\": \"700mhz\",\n      \"voltage\": \"1.6v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ag\"\n    },\n    {\n      \"frequency\": \"800mhz\",\n      \"voltage\": \"1.8v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ah\"\n    },\n    {\n      \"frequency\": \"900mhz\",\n      \"voltage\": \"2.0v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002ai\"\n    },\n    {\n      \"frequency\": \"1000mhz\",\n      \"voltage\": \"1.6v\",\n      \"part_number_s_\": \"kp80524kx300256kc80524kx300256pmg30002002aj\"\n    }\n  ]\n}", "idx": 31030}
{"context": "CREATE TABLE table_17801022_1 (manufacturer VARCHAR, date VARCHAR)", "sql_query": "select manufacturer from table_17801022_1 where date = 'november 2'", "question": "What manufacturer won the race on November 2?", "data_table": "{\n  \"table_17801022_1\": [\n    {\n      \"manufacturer\": \"apple\",\n      \"date\": \"november 2\"\n    },\n    {\n      \"manufacturer\": \"samsung\",\n      \"date\": \"november 2\"\n    },\n    {\n      \"manufacturer\": \"google\",\n      \"date\": \"november 3\"\n    },\n    {\n      \"manufacturer\": \"microsoft\",\n      \"date\": \"november 1\"\n    },\n    {\n      \"manufacturer\": \"sony\",\n      \"date\": \"november 2\"\n    },\n    {\n      \"manufacturer\": \"lg\",\n      \"date\": \"november 3\"\n    },\n    {\n      \"manufacturer\": \"hp\",\n      \"date\": \"november 1\"\n    },\n    {\n      \"manufacturer\": \"dell\",\n      \"date\": \"november 2\"\n    },\n    {\n      \"manufacturer\": \"lenovo\",\n      \"date\": \"november 3\"\n    },\n    {\n      \"manufacturer\": \"asus\",\n      \"date\": \"november 1\"\n    }\n  ]\n}", "idx": 31032}
{"context": "CREATE TABLE table_26702204_1 (us_viewers__million_ VARCHAR, production_code VARCHAR)", "sql_query": "select us_viewers__million_ from table_26702204_1 where production_code = '4alh19'", "question": "What was the u.s. viewers (millions) when the production code was 4alh19?", "data_table": "{\n  \"table_26702204_1\": [\n    {\n      \"us_viewers__million_\": \"3.5\",\n      \"production_code\": \"4alh19\"\n    },\n    {\n      \"us_viewers__million_\": \"2.8\",\n      \"production_code\": \"2bgt12\"\n    },\n    {\n      \"us_viewers__million_\": \"4.1\",\n      \"production_code\": \"7klo05\"\n    },\n    {\n      \"us_viewers__million_\": \"1.9\",\n      \"production_code\": \"9pqr23\"\n    },\n    {\n      \"us_viewers__million_\": \"3.2\",\n      \"production_code\": \"5xyz09\"\n    },\n    {\n      \"us_viewers__million_\": \"2.6\",\n      \"production_code\": \"1mno34\"\n    },\n    {\n      \"us_viewers__million_\": \"4.3\",\n      \"production_code\": \"8def67\"\n    },\n    {\n      \"us_viewers__million_\": \"2.1\",\n      \"production_code\": \"3rst56\"\n    },\n    {\n      \"us_viewers__million_\": \"3.9\",\n      \"production_code\": \"6uvw78\"\n    },\n    {\n      \"us_viewers__million_\": \"2.4\",\n      \"production_code\": \"0ijk45\"\n    }\n  ]\n}", "idx": 31034}
{"context": "CREATE TABLE table_name_7 (venue VARCHAR, competition VARCHAR)", "sql_query": "select venue from table_name_7 where competition = 'friendly match'", "question": "Which venue is the friendly match in?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"venue\": \"stadium a\",\n      \"competition\": \"friendly match\"\n    },\n    {\n      \"venue\": \"stadium b\",\n      \"competition\": \"friendly match\"\n    },\n    {\n      \"venue\": \"stadium c\",\n      \"competition\": \"league match\"\n    },\n    {\n      \"venue\": \"stadium d\",\n      \"competition\": \"friendly match\"\n    },\n    {\n      \"venue\": \"stadium e\",\n      \"competition\": \"cup match\"\n    },\n    {\n      \"venue\": \"stadium f\",\n      \"competition\": \"friendly match\"\n    },\n    {\n      \"venue\": \"stadium g\",\n      \"competition\": \"friendly match\"\n    },\n    {\n      \"venue\": \"stadium h\",\n      \"competition\": \"league match\"\n    },\n    {\n      \"venue\": \"stadium i\",\n      \"competition\": \"friendly match\"\n    },\n    {\n      \"venue\": \"stadium j\",\n      \"competition\": \"cup match\"\n    }\n  ]\n}", "idx": 31035}
{"context": "CREATE TABLE table_name_62 (high_rebounds VARCHAR, team VARCHAR)", "sql_query": "select high_rebounds from table_name_62 where team = 'denver'", "question": "Who had the high rebounds, and how many, when they played Denver?", "data_table": "{\n  \"table_name_62\": [\n    {\n      \"high_rebounds\": \"10\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"8\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"12\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"6\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"9\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"7\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"11\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"5\",\n      \"team\": \"denver\"\n    },\n    {\n      \"high_rebounds\": \"10\",\n      \"team\": \"boston\"\n    },\n    {\n      \"high_rebounds\": \"8\",\n      \"team\": \"boston\"\n    }\n  ]\n}", "idx": 31036}
{"context": "CREATE TABLE table_25762852_1 (top_elevation__feet_ VARCHAR, name VARCHAR)", "sql_query": "select top_elevation__feet_ from table_25762852_1 where name = 'steamboat'", "question": "If the name is Steamboat, what is the top elevation?", "data_table": "{\n  \"table_25762852_1\": [\n    {\n      \"top_elevation__feet_\": \"1000\",\n      \"name\": \"steamboat\"\n    },\n    {\n      \"top_elevation__feet_\": \"1500\",\n      \"name\": \"steamboat\"\n    },\n    {\n      \"top_elevation__feet_\": \"2000\",\n      \"name\": \"aspen\"\n    },\n    {\n      \"top_elevation__feet_\": \"2500\",\n      \"name\": \"aspen\"\n    },\n    {\n      \"top_elevation__feet_\": \"3000\",\n      \"name\": \"vail\"\n    },\n    {\n      \"top_elevation__feet_\": \"3500\",\n      \"name\": \"vail\"\n    },\n    {\n      \"top_elevation__feet_\": \"4000\",\n      \"name\": \"breckenridge\"\n    },\n    {\n      \"top_elevation__feet_\": \"4500\",\n      \"name\": \"breckenridge\"\n    },\n    {\n      \"top_elevation__feet_\": \"5000\",\n      \"name\": \"copper mountain\"\n    },\n    {\n      \"top_elevation__feet_\": \"5500\",\n      \"name\": \"copper mountain\"\n    }\n  ]\n}", "idx": 31037}
{"context": "CREATE TABLE table_name_88 (original_artist VARCHAR, week__number VARCHAR)", "sql_query": "select original_artist from table_name_88 where week__number = 'top 9'", "question": "What is the original artist of top 9 as the week number?", "data_table": "{\n  \"table_name_88\": [\n    {\n      \"original_artist\": \"taylor swift\",\n      \"week__number\": \"top 9\"\n    },\n    {\n      \"original_artist\": \"ed sheeran\",\n      \"week__number\": \"top 5\"\n    },\n    {\n      \"original_artist\": \"ariana grande\",\n      \"week__number\": \"top 9\"\n    },\n    {\n      \"original_artist\": \"drake\",\n      \"week__number\": \"top 3\"\n    },\n    {\n      \"original_artist\": \"beyonce\",\n      \"week__number\": \"top 9\"\n    },\n    {\n      \"original_artist\": \"justin bieber\",\n      \"week__number\": \"top 5\"\n    },\n    {\n      \"original_artist\": \"rihanna\",\n      \"week__number\": \"top 9\"\n    },\n    {\n      \"original_artist\": \"katy perry\",\n      \"week__number\": \"top 7\"\n    },\n    {\n      \"original_artist\": \"bruno mars\",\n      \"week__number\": \"top 9\"\n    },\n    {\n      \"original_artist\": \"the weeknd\",\n      \"week__number\": \"top 9\"\n    }\n  ]\n}", "idx": 31038}
{"context": "CREATE TABLE table_name_71 (games VARCHAR, marks VARCHAR)", "sql_query": "select games from table_name_71 where marks = '21'", "question": "Name the games with marks of 21", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"games\": \"chess\",\n      \"marks\": \"21\"\n    },\n    {\n      \"games\": \"football\",\n      \"marks\": \"15\"\n    },\n    {\n      \"games\": \"basketball\",\n      \"marks\": \"21\"\n    },\n    {\n      \"games\": \"tennis\",\n      \"marks\": \"10\"\n    },\n    {\n      \"games\": \"cricket\",\n      \"marks\": \"18\"\n    },\n    {\n      \"games\": \"badminton\",\n      \"marks\": \"21\"\n    },\n    {\n      \"games\": \"golf\",\n      \"marks\": \"5\"\n    },\n    {\n      \"games\": \"baseball\",\n      \"marks\": \"21\"\n    },\n    {\n      \"games\": \"hockey\",\n      \"marks\": \"12\"\n    },\n    {\n      \"games\": \"volleyball\",\n      \"marks\": \"21\"\n    }\n  ]\n}", "idx": 31039}
{"context": "CREATE TABLE table_name_30 (away_team VARCHAR, venue VARCHAR)", "sql_query": "select away_team as score from table_name_30 where venue = 'junction oval'", "question": "What did the away team score at Junction oval?", "data_table": "{\n  \"table_name_30\": [\n    {\n      \"away_team\": \"team a\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team b\",\n      \"venue\": \"mcg\"\n    },\n    {\n      \"away_team\": \"team c\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team d\",\n      \"venue\": \"scg\"\n    },\n    {\n      \"away_team\": \"team e\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team f\",\n      \"venue\": \"gabba\"\n    },\n    {\n      \"away_team\": \"team g\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team h\",\n      \"venue\": \"adelaide oval\"\n    },\n    {\n      \"away_team\": \"team i\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team j\",\n      \"venue\": \"optus stadium\"\n    }\n  ]\n}", "idx": 31040}
{"context": "CREATE TABLE table_1965650_3 (pick__number INTEGER, player VARCHAR)", "sql_query": "select min(pick__number) from table_1965650_3 where player = 'doug gibson'", "question": "Name the least pick # for doug gibson", "data_table": "{\n  \"table_1965650_3\": [\n    {\n      \"pick__number\": 1,\n      \"player\": \"john smith\"\n    },\n    {\n      \"pick__number\": 2,\n      \"player\": \"mike johnson\"\n    },\n    {\n      \"pick__number\": 3,\n      \"player\": \"doug gibson\"\n    },\n    {\n      \"pick__number\": 4,\n      \"player\": \"sarah thompson\"\n    },\n    {\n      \"pick__number\": 5,\n      \"player\": \"emily davis\"\n    },\n    {\n      \"pick__number\": 6,\n      \"player\": \"chris wilson\"\n    },\n    {\n      \"pick__number\": 7,\n      \"player\": \"alex turner\"\n    },\n    {\n      \"pick__number\": 8,\n      \"player\": \"jessica brown\"\n    },\n    {\n      \"pick__number\": 9,\n      \"player\": \"ryan miller\"\n    },\n    {\n      \"pick__number\": 10,\n      \"player\": \"michelle lee\"\n    }\n  ]\n}", "idx": 31041}
{"context": "CREATE TABLE table_name_32 (label VARCHAR, date VARCHAR)", "sql_query": "select label from table_name_32 where date = 'february 14, 2002'", "question": "Which label is dated February 14, 2002?", "data_table": "{\n  \"table_name_32\": [\n    {\n      \"label\": \"apple\",\n      \"date\": \"january 1, 2000\"\n    },\n    {\n      \"label\": \"banana\",\n      \"date\": \"february 14, 2002\"\n    },\n    {\n      \"label\": \"cherry\",\n      \"date\": \"march 27, 2005\"\n    },\n    {\n      \"label\": \"durian\",\n      \"date\": \"april 30, 2008\"\n    },\n    {\n      \"label\": \"elderberry\",\n      \"date\": \"may 5, 2010\"\n    },\n    {\n      \"label\": \"fig\",\n      \"date\": \"june 12, 2013\"\n    },\n    {\n      \"label\": \"grape\",\n      \"date\": \"july 18, 2016\"\n    },\n    {\n      \"label\": \"honeydew\",\n      \"date\": \"august 22, 2019\"\n    },\n    {\n      \"label\": \"kiwi\",\n      \"date\": \"september 25, 2021\"\n    },\n    {\n      \"label\": \"lemon\",\n      \"date\": \"october 31, 2024\"\n    }\n  ]\n}", "idx": 31042}
{"context": "CREATE TABLE table_name_67 (team VARCHAR, year VARCHAR)", "sql_query": "select team from table_name_67 where year = '1976'", "question": "What is the team for 1976?", "data_table": "{\n  \"table_name_67\": [\n    {\n      \"team\": \"team a\",\n      \"year\": \"1976\"\n    },\n    {\n      \"team\": \"team b\",\n      \"year\": \"1976\"\n    },\n    {\n      \"team\": \"team c\",\n      \"year\": \"1977\"\n    },\n    {\n      \"team\": \"team d\",\n      \"year\": \"1977\"\n    },\n    {\n      \"team\": \"team e\",\n      \"year\": \"1978\"\n    },\n    {\n      \"team\": \"team f\",\n      \"year\": \"1978\"\n    },\n    {\n      \"team\": \"team g\",\n      \"year\": \"1979\"\n    },\n    {\n      \"team\": \"team h\",\n      \"year\": \"1979\"\n    },\n    {\n      \"team\": \"team i\",\n      \"year\": \"1980\"\n    },\n    {\n      \"team\": \"team j\",\n      \"year\": \"1980\"\n    }\n  ]\n}", "idx": 31043}
{"context": "CREATE TABLE table_name_50 (pick__number VARCHAR, position VARCHAR, college_junior_club_team VARCHAR)", "sql_query": "select pick__number from table_name_50 where position = 'd' and college_junior_club_team = 'university of maine (ncaa)'", "question": "What is the pick number for position of D from the University of Maine (NCAA)?", "data_table": "{\n  \"table_name_50\": [\n    {\n      \"pick__number\": \"1\",\n      \"position\": \"d\",\n      \"college_junior_club_team\": \"university of maine (ncaa)\"\n    },\n    {\n      \"pick__number\": \"2\",\n      \"position\": \"f\",\n      \"college_junior_club_team\": \"university of michigan (ncaa)\"\n    },\n    {\n      \"pick__number\": \"3\",\n      \"position\": \"g\",\n      \"college_junior_club_team\": \"university of north carolina (ncaa)\"\n    },\n    {\n      \"pick__number\": \"4\",\n      \"position\": \"d\",\n      \"college_junior_club_team\": \"university of wisconsin (ncaa)\"\n    },\n    {\n      \"pick__number\": \"5\",\n      \"position\": \"f\",\n      \"college_junior_club_team\": \"duke university (ncaa)\"\n    },\n    {\n      \"pick__number\": \"6\",\n      \"position\": \"g\",\n      \"college_junior_club_team\": \"university of kentucky (ncaa)\"\n    },\n    {\n      \"pick__number\": \"7\",\n      \"position\": \"d\",\n      \"college_junior_club_team\": \"university of florida (ncaa)\"\n    },\n    {\n      \"pick__number\": \"8\",\n      \"position\": \"f\",\n      \"college_junior_club_team\": \"university of texas (ncaa)\"\n    },\n    {\n      \"pick__number\": \"9\",\n      \"position\": \"g\",\n      \"college_junior_club_team\": \"university of arizona (ncaa)\"\n    },\n    {\n      \"pick__number\": \"10\",\n      \"position\": \"d\",\n      \"college_junior_club_team\": \"university of connecticut (ncaa)\"\n    }\n  ]\n}", "idx": 31044}
{"context": "CREATE TABLE table_27965906_2 (b_winning_car VARCHAR, ss_winning_car VARCHAR)", "sql_query": "select count(b_winning_car) from table_27965906_2 where ss_winning_car = 'bobby archer, tommy archer'", "question": "Name the total number of b winning car and bobby archer, tommy archer", "data_table": "{\n  \"table_27965906_2\": [\n    {\n      \"b_winning_car\": \"mercedes\",\n      \"ss_winning_car\": \"lewis hamilton\"\n    },\n    {\n      \"b_winning_car\": \"ferrari\",\n      \"ss_winning_car\": \"sebastian vettel\"\n    },\n    {\n      \"b_winning_car\": \"red bull\",\n      \"ss_winning_car\": \"max verstappen\"\n    },\n    {\n      \"b_winning_car\": \"mercedes\",\n      \"ss_winning_car\": \"valtteri bottas\"\n    },\n    {\n      \"b_winning_car\": \"ferrari\",\n      \"ss_winning_car\": \"charles leclerc\"\n    },\n    {\n      \"b_winning_car\": \"red bull\",\n      \"ss_winning_car\": \"daniel ricciardo\"\n    },\n    {\n      \"b_winning_car\": \"mercedes\",\n      \"ss_winning_car\": \"nico rosberg\"\n    },\n    {\n      \"b_winning_car\": \"ferrari\",\n      \"ss_winning_car\": \"kimi r\u00e4ikk\u00f6nen\"\n    },\n    {\n      \"b_winning_car\": \"red bull\",\n      \"ss_winning_car\": \"sergio perez\"\n    },\n    {\n      \"b_winning_car\": \"mercedes\",\n      \"ss_winning_car\": \"michael schumacher\"\n    }\n  ]\n}", "idx": 31045}
{"context": "CREATE TABLE table_27257896_2 (salary_range VARCHAR, indians VARCHAR)", "sql_query": "select salary_range from table_27257896_2 where indians = '8.2%'", "question": "If the Indians are 8.2%, what is the salary range?", "data_table": "{\n  \"table_27257896_2\": [\n    {\n      \"salary_range\": \"10k-20k\",\n      \"indians\": \"8.2%\"\n    },\n    {\n      \"salary_range\": \"20k-30k\",\n      \"indians\": \"8.2%\"\n    },\n    {\n      \"salary_range\": \"30k-40k\",\n      \"indians\": \"5.6%\"\n    },\n    {\n      \"salary_range\": \"40k-50k\",\n      \"indians\": \"5.6%\"\n    },\n    {\n      \"salary_range\": \"50k-60k\",\n      \"indians\": \"3.9%\"\n    },\n    {\n      \"salary_range\": \"60k-70k\",\n      \"indians\": \"3.9%\"\n    },\n    {\n      \"salary_range\": \"70k-80k\",\n      \"indians\": \"2.3%\"\n    },\n    {\n      \"salary_range\": \"80k-90k\",\n      \"indians\": \"2.3%\"\n    },\n    {\n      \"salary_range\": \"90k-100k\",\n      \"indians\": \"1.7%\"\n    },\n    {\n      \"salary_range\": \"100k-110k\",\n      \"indians\": \"1.7%\"\n    }\n  ]\n}", "idx": 31046}
{"context": "CREATE TABLE table_name_79 (year INTEGER, college_country VARCHAR)", "sql_query": "select min(year) from table_name_79 where college_country = 'baylor'", "question": "What is the earliest year a Baylor player made the list?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"year\": 2015,\n      \"college_country\": \"usa\"\n    },\n    {\n      \"year\": 2016,\n      \"college_country\": \"canada\"\n    },\n    {\n      \"year\": 2017,\n      \"college_country\": \"usa\"\n    },\n    {\n      \"year\": 2018,\n      \"college_country\": \"australia\"\n    },\n    {\n      \"year\": 2019,\n      \"college_country\": \"usa\"\n    },\n    {\n      \"year\": 2020,\n      \"college_country\": \"germany\"\n    },\n    {\n      \"year\": 2021,\n      \"college_country\": \"usa\"\n    },\n    {\n      \"year\": 2022,\n      \"college_country\": \"france\"\n    },\n    {\n      \"year\": 2023,\n      \"college_country\": \"usa\"\n    },\n    {\n      \"year\": 2024,\n      \"college_country\": \"uk\"\n    }\n  ]\n}", "idx": 31048}
{"context": "CREATE TABLE table_name_20 (opponent VARCHAR, date VARCHAR)", "sql_query": "select opponent from table_name_20 where date = 'april 14'", "question": "Which opponent has a Date of april 14?", "data_table": "{\n  \"table_name_20\": [\n    {\n      \"opponent\": \"team a\",\n      \"date\": \"april 14\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"date\": \"april 14\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"date\": \"april 16\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"date\": \"april 16\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"date\": \"april 17\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"date\": \"april 17\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"date\": \"april 18\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"date\": \"april 18\"\n    }\n  ]\n}", "idx": 31049}
{"context": "CREATE TABLE table_name_48 (league_from VARCHAR, player VARCHAR)", "sql_query": "select league_from from table_name_48 where player = 'louis domingue'", "question": "Which League from has a Player of louis domingue?", "data_table": "{\n  \"table_name_48\": [\n    {\n      \"league_from\": \"nhl\",\n      \"player\": \"connor mcdavid\"\n    },\n    {\n      \"league_from\": \"ahl\",\n      \"player\": \"louis domingue\"\n    },\n    {\n      \"league_from\": \"khl\",\n      \"player\": \"ilya kovalchuk\"\n    },\n    {\n      \"league_from\": \"ncaa\",\n      \"player\": \"jack eichel\"\n    },\n    {\n      \"league_from\": \"shl\",\n      \"player\": \"victor olofsson\"\n    },\n    {\n      \"league_from\": \"nhl\",\n      \"player\": \"sidney crosby\"\n    },\n    {\n      \"league_from\": \"ahl\",\n      \"player\": \"carter hart\"\n    },\n    {\n      \"league_from\": \"khl\",\n      \"player\": \"artemi panarin\"\n    },\n    {\n      \"league_from\": \"ncaa\",\n      \"player\": \"quinn hughes\"\n    },\n    {\n      \"league_from\": \"shl\",\n      \"player\": \"elias pettersson\"\n    }\n  ]\n}", "idx": 31050}
{"context": "CREATE TABLE table_name_25 (player VARCHAR, cross_code_debut VARCHAR)", "sql_query": "select player from table_name_25 where cross_code_debut = 'rl test gb v france'", "question": "What is the Player with a Cross Code Debut of RL Test GB v France?", "data_table": "{\n  \"table_name_25\": [\n    {\n      \"player\": \"john smith\",\n      \"cross_code_debut\": \"rl test gb v france\"\n    },\n    {\n      \"player\": \"michael johnson\",\n      \"cross_code_debut\": \"rl test gb v australia\"\n    },\n    {\n      \"player\": \"david williams\",\n      \"cross_code_debut\": \"rl test gb v new zealand\"\n    },\n    {\n      \"player\": \"robert thompson\",\n      \"cross_code_debut\": \"rl test gb v wales\"\n    },\n    {\n      \"player\": \"daniel brown\",\n      \"cross_code_debut\": \"rl test gb v ireland\"\n    },\n    {\n      \"player\": \"christopher davis\",\n      \"cross_code_debut\": \"rl test gb v scotland\"\n    },\n    {\n      \"player\": \"matthew wilson\",\n      \"cross_code_debut\": \"rl test gb v england\"\n    },\n    {\n      \"player\": \"andrew taylor\",\n      \"cross_code_debut\": \"rl test gb v fiji\"\n    },\n    {\n      \"player\": \"steven anderson\",\n      \"cross_code_debut\": \"rl test gb v samoa\"\n    },\n    {\n      \"player\": \"paul thompson\",\n      \"cross_code_debut\": \"rl test gb v tonga\"\n    }\n  ]\n}", "idx": 31051}
{"context": "CREATE TABLE table_name_15 (attendance VARCHAR, date VARCHAR)", "sql_query": "select attendance from table_name_15 where date = '10/29/1932'", "question": "What was the attendance on 10/29/1932?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"attendance\": \"present\",\n      \"date\": \"10/29/1932\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"date\": \"10/29/1932\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"date\": \"10/30/1932\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"date\": \"10/31/1932\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"date\": \"11/01/1932\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"date\": \"11/01/1932\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"date\": \"11/02/1932\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"date\": \"11/02/1932\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"date\": \"11/03/1932\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"date\": \"11/03/1932\"\n    }\n  ]\n}", "idx": 31052}
{"context": "CREATE TABLE table_name_71 (country VARCHAR, name VARCHAR)", "sql_query": "select country from table_name_71 where name = 'sba towers tower hayneville'", "question": "What country has the SBA Towers Tower Hayneville?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"country\": \"usa\",\n      \"name\": \"sba towers tower hayneville\"\n    },\n    {\n      \"country\": \"canada\",\n      \"name\": \"sba towers tower toronto\"\n    },\n    {\n      \"country\": \"mexico\",\n      \"name\": \"sba towers tower cancun\"\n    },\n    {\n      \"country\": \"germany\",\n      \"name\": \"sba towers tower berlin\"\n    },\n    {\n      \"country\": \"france\",\n      \"name\": \"sba towers tower paris\"\n    },\n    {\n      \"country\": \"australia\",\n      \"name\": \"sba towers tower sydney\"\n    },\n    {\n      \"country\": \"brazil\",\n      \"name\": \"sba towers tower rio de janeiro\"\n    },\n    {\n      \"country\": \"india\",\n      \"name\": \"sba towers tower mumbai\"\n    },\n    {\n      \"country\": \"china\",\n      \"name\": \"sba towers tower shanghai\"\n    },\n    {\n      \"country\": \"japan\",\n      \"name\": \"sba towers tower tokyo\"\n    }\n  ]\n}", "idx": 31053}
{"context": "CREATE TABLE table_name_2 (score VARCHAR, surface VARCHAR, opponent_in_the_final VARCHAR)", "sql_query": "select score from table_name_2 where surface = 'hard' and opponent_in_the_final = 'elena likhovtseva'", "question": "What is the score of the match played on a hard surface with an opponent in the final of Elena Likhovtseva?", "data_table": "{\n  \"table_name_2\": [\n    {\n      \"score\": \"6-2, 6-4\",\n      \"surface\": \"hard\",\n      \"opponent_in_the_final\": \"elena likhovtseva\"\n    },\n    {\n      \"score\": \"7-5, 6-3\",\n      \"surface\": \"clay\",\n      \"opponent_in_the_final\": \"martina hingis\"\n    },\n    {\n      \"score\": \"6-4, 6-7, 7-6\",\n      \"surface\": \"grass\",\n      \"opponent_in_the_final\": \"serena williams\"\n    },\n    {\n      \"score\": \"6-3, 6-1\",\n      \"surface\": \"hard\",\n      \"opponent_in_the_final\": \"venus williams\"\n    },\n    {\n      \"score\": \"6-2, 6-0\",\n      \"surface\": \"clay\",\n      \"opponent_in_the_final\": \"simona halep\"\n    },\n    {\n      \"score\": \"7-6, 6-4\",\n      \"surface\": \"grass\",\n      \"opponent_in_the_final\": \"angelique kerber\"\n    },\n    {\n      \"score\": \"6-4, 6-2\",\n      \"surface\": \"hard\",\n      \"opponent_in_the_final\": \"maria sharapova\"\n    },\n    {\n      \"score\": \"6-1, 6-3\",\n      \"surface\": \"clay\",\n      \"opponent_in_the_final\": \"caroline wozniacki\"\n    },\n    {\n      \"score\": \"6-3, 6-4\",\n      \"surface\": \"grass\",\n      \"opponent_in_the_final\": \"petra kvitova\"\n    },\n    {\n      \"score\": \"6-2, 6-0\",\n      \"surface\": \"hard\",\n      \"opponent_in_the_final\": \"naomi osaka\"\n    }\n  ]\n}", "idx": 31054}
{"context": "CREATE TABLE table_name_48 (votes VARCHAR, rank VARCHAR, candidate VARCHAR)", "sql_query": "select count(votes) from table_name_48 where rank = '3rd' and candidate = 'mary louise lorefice'", "question": "How many votes did 3rd ranking candidate Mary Louise Lorefice receive?", "data_table": "{\n  \"table_name_48\": [\n    {\n      \"votes\": \"100\",\n      \"rank\": \"1st\",\n      \"candidate\": \"john smith\"\n    },\n    {\n      \"votes\": \"150\",\n      \"rank\": \"2nd\",\n      \"candidate\": \"jane doe\"\n    },\n    {\n      \"votes\": \"75\",\n      \"rank\": \"3rd\",\n      \"candidate\": \"mary louise lorefice\"\n    },\n    {\n      \"votes\": \"50\",\n      \"rank\": \"1st\",\n      \"candidate\": \"michael johnson\"\n    },\n    {\n      \"votes\": \"200\",\n      \"rank\": \"2nd\",\n      \"candidate\": \"emily brown\"\n    },\n    {\n      \"votes\": \"125\",\n      \"rank\": \"3rd\",\n      \"candidate\": \"david wilson\"\n    },\n    {\n      \"votes\": \"80\",\n      \"rank\": \"1st\",\n      \"candidate\": \"sarah thompson\"\n    },\n    {\n      \"votes\": \"175\",\n      \"rank\": \"2nd\",\n      \"candidate\": \"robert davis\"\n    },\n    {\n      \"votes\": \"110\",\n      \"rank\": \"3rd\",\n      \"candidate\": \"jennifer anderson\"\n    },\n    {\n      \"votes\": \"60\",\n      \"rank\": \"1st\",\n      \"candidate\": \"christopher martinez\"\n    }\n  ]\n}", "idx": 31055}
{"context": "CREATE TABLE table_21538523_1 (class VARCHAR, type VARCHAR)", "sql_query": "select class from table_21538523_1 where type = 'fj/rn/sc'", "question": "Type FJ/RN/SC is associated with what class?", "data_table": "{\n  \"table_21538523_1\": [\n    {\n      \"class\": \"math\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"english\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"science\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"history\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"geography\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"art\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"music\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"physical education\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"computer science\",\n      \"type\": \"fj/rn/sc\"\n    },\n    {\n      \"class\": \"foreign language\",\n      \"type\": \"fj/rn/sc\"\n    }\n  ]\n}", "idx": 31056}
{"context": "CREATE TABLE table_name_22 (release_date VARCHAR, dvd_title VARCHAR)", "sql_query": "select release_date from table_name_22 where dvd_title = 'ben 10: alien force volume 9'", "question": "What is the release date for Ben 10: Alien Force Volume 9 on DVD?", "data_table": "{\n  \"table_name_22\": [\n    {\n      \"release_date\": \"2021-01-01\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2020-05-15\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2019-09-30\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2018-03-10\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2017-07-22\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2016-11-05\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2015-04-18\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2014-08-29\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2013-12-12\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    },\n    {\n      \"release_date\": \"2012-06-25\",\n      \"dvd_title\": \"ben 10: alien force volume 9\"\n    }\n  ]\n}", "idx": 31057}
{"context": "CREATE TABLE table_name_68 (location VARCHAR, score VARCHAR)", "sql_query": "select location from table_name_68 where score = 'w 82-76'", "question": "At what location was the score W 82-76?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"location\": \"new york\",\n      \"score\": \"w 82-76\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"score\": \"w 82-76\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"score\": \"l 76-82\"\n    },\n    {\n      \"location\": \"boston\",\n      \"score\": \"w 82-76\"\n    },\n    {\n      \"location\": \"miami\",\n      \"score\": \"l 76-82\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"score\": \"w 82-76\"\n    },\n    {\n      \"location\": \"houston\",\n      \"score\": \"l 76-82\"\n    },\n    {\n      \"location\": \"dallas\",\n      \"score\": \"w 82-76\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"score\": \"l 76-82\"\n    },\n    {\n      \"location\": \"denver\",\n      \"score\": \"w 82-76\"\n    }\n  ]\n}", "idx": 31058}
{"context": "CREATE TABLE table_name_28 (date VARCHAR, record VARCHAR)", "sql_query": "select date from table_name_28 where record = '61-66'", "question": "On what date was the team's record 61-66?", "data_table": "{\n  \"table_name_28\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"record\": \"61-66\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"record\": \"61-66\"\n    }\n  ]\n}", "idx": 31060}
{"context": "CREATE TABLE table_name_86 (torque VARCHAR, engine VARCHAR)", "sql_query": "select torque from table_name_86 where engine = '1.3 16v multijet'", "question": "Which torque value is associated with the 1.3 16V multijet engine?", "data_table": "{\n  \"table_name_86\": [\n    {\n      \"torque\": \"100 nm\",\n      \"engine\": \"1.3 16v multijet\"\n    },\n    {\n      \"torque\": \"85 nm\",\n      \"engine\": \"1.0 ecoboost\"\n    },\n    {\n      \"torque\": \"120 nm\",\n      \"engine\": \"1.6 tdi\"\n    },\n    {\n      \"torque\": \"95 nm\",\n      \"engine\": \"1.2 puretech\"\n    },\n    {\n      \"torque\": \"110 nm\",\n      \"engine\": \"1.5 dci\"\n    },\n    {\n      \"torque\": \"80 nm\",\n      \"engine\": \"1.0 mpi\"\n    },\n    {\n      \"torque\": \"130 nm\",\n      \"engine\": \"2.0 tfsi\"\n    },\n    {\n      \"torque\": \"90 nm\",\n      \"engine\": \"1.4 tsi\"\n    },\n    {\n      \"torque\": \"105 nm\",\n      \"engine\": \"1.6 hdi\"\n    },\n    {\n      \"torque\": \"75 nm\",\n      \"engine\": \"0.9 twinair\"\n    }\n  ]\n}", "idx": 31061}
{"context": "CREATE TABLE files (formats VARCHAR)", "sql_query": "select count(*), formats from files group by formats", "question": "For each file format, return the number of artists who released songs in that format.", "data_table": "{\n  \"files\": [\n    {\n      \"formats\": \"pdf\"\n    },\n    {\n      \"formats\": \"docx\"\n    },\n    {\n      \"formats\": \"pdf\"\n    },\n    {\n      \"formats\": \"xlsx\"\n    },\n    {\n      \"formats\": \"pptx\"\n    },\n    {\n      \"formats\": \"txt\"\n    },\n    {\n      \"formats\": \"xlsx\"\n    },\n    {\n      \"formats\": \"csv\"\n    },\n    {\n      \"formats\": \"docx\"\n    },\n    {\n      \"formats\": \"pptx\"\n    }\n  ]\n}", "idx": 31062}
{"context": "CREATE TABLE table_name_27 (number_of_seasons_in_liga_mx INTEGER, club VARCHAR)", "sql_query": "select max(number_of_seasons_in_liga_mx) from table_name_27 where club = 'cruz azul'", "question": "What is the highest Number of seasons in Liga MX for Club cruz azul?", "data_table": "{\n  \"table_name_27\": [\n    {\n      \"number_of_seasons_in_liga_mx\": 5,\n      \"club\": \"cruz azul\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 3,\n      \"club\": \"america\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 2,\n      \"club\": \"tigres\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 4,\n      \"club\": \"monterrey\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 1,\n      \"club\": \"pumas\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 6,\n      \"club\": \"santos laguna\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 2,\n      \"club\": \"leon\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 3,\n      \"club\": \"chivas\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 4,\n      \"club\": \"pachuca\"\n    },\n    {\n      \"number_of_seasons_in_liga_mx\": 5,\n      \"club\": \"queretaro\"\n    }\n  ]\n}", "idx": 31063}
{"context": "CREATE TABLE table_name_41 (name VARCHAR, relationship_with_predecessor_s_ VARCHAR)", "sql_query": "select name from table_name_41 where relationship_with_predecessor_s_ = 'brother of edward viii'", "question": "Who was the brother of Edward VIII?", "data_table": "{\n  \"table_name_41\": [\n    {\n      \"name\": \"john\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    },\n    {\n      \"name\": \"michael\",\n      \"relationship_with_predecessor_s_\": \"uncle of edward viii\"\n    },\n    {\n      \"name\": \"david\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    },\n    {\n      \"name\": \"robert\",\n      \"relationship_with_predecessor_s_\": \"cousin of edward viii\"\n    },\n    {\n      \"name\": \"william\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    },\n    {\n      \"name\": \"richard\",\n      \"relationship_with_predecessor_s_\": \"father of edward viii\"\n    },\n    {\n      \"name\": \"thomas\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    },\n    {\n      \"name\": \"christopher\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    },\n    {\n      \"name\": \"joseph\",\n      \"relationship_with_predecessor_s_\": \"brother of edward viii\"\n    }\n  ]\n}", "idx": 31064}
{"context": "CREATE TABLE table_name_85 (score VARCHAR, country VARCHAR)", "sql_query": "select score from table_name_85 where country = 'australia'", "question": "What score did Australia get?", "data_table": "{\n  \"table_name_85\": [\n    {\n      \"score\": \"85\",\n      \"country\": \"australia\"\n    },\n    {\n      \"score\": \"92\",\n      \"country\": \"canada\"\n    },\n    {\n      \"score\": \"78\",\n      \"country\": \"france\"\n    },\n    {\n      \"score\": \"89\",\n      \"country\": \"germany\"\n    },\n    {\n      \"score\": \"95\",\n      \"country\": \"japan\"\n    },\n    {\n      \"score\": \"80\",\n      \"country\": \"mexico\"\n    },\n    {\n      \"score\": \"87\",\n      \"country\": \"netherlands\"\n    },\n    {\n      \"score\": \"91\",\n      \"country\": \"spain\"\n    },\n    {\n      \"score\": \"83\",\n      \"country\": \"united kingdom\"\n    },\n    {\n      \"score\": \"88\",\n      \"country\": \"united states\"\n    }\n  ]\n}", "idx": 31065}
{"context": "CREATE TABLE table_2668243_25 (party VARCHAR, incumbent VARCHAR)", "sql_query": "select party from table_2668243_25 where incumbent = 'john s. barbour'", "question": "What party did john s. barbour represent?", "data_table": "{\n  \"table_2668243_25\": [\n    {\n      \"party\": \"democratic\",\n      \"incumbent\": \"john s. barbour\"\n    },\n    {\n      \"party\": \"republican\",\n      \"incumbent\": \"john s. barbour\"\n    },\n    {\n      \"party\": \"independent\",\n      \"incumbent\": \"jane m. smith\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"incumbent\": \"michael j. johnson\"\n    },\n    {\n      \"party\": \"green party\",\n      \"incumbent\": \"john s. barbour\"\n    },\n    {\n      \"party\": \"democratic\",\n      \"incumbent\": \"sarah l. thompson\"\n    },\n    {\n      \"party\": \"republican\",\n      \"incumbent\": \"john s. barbour\"\n    },\n    {\n      \"party\": \"independent\",\n      \"incumbent\": \"robert w. davis\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"incumbent\": \"john s. barbour\"\n    },\n    {\n      \"party\": \"green party\",\n      \"incumbent\": \"emily r. wilson\"\n    }\n  ]\n}", "idx": 31066}
{"context": "CREATE TABLE table_10749367_3 (_number INTEGER, air_date VARCHAR)", "sql_query": "select min(_number) from table_10749367_3 where air_date = '18 april 2007'", "question": "What episode aired on 18 April 2007?", "data_table": "{\n  \"table_10749367_3\": [\n    {\n      \"_number\": 1,\n      \"air_date\": \"18 april 2007\"\n    },\n    {\n      \"_number\": 2,\n      \"air_date\": \"19 april 2007\"\n    },\n    {\n      \"_number\": 3,\n      \"air_date\": \"20 april 2007\"\n    },\n    {\n      \"_number\": 4,\n      \"air_date\": \"21 april 2007\"\n    },\n    {\n      \"_number\": 5,\n      \"air_date\": \"22 april 2007\"\n    },\n    {\n      \"_number\": 6,\n      \"air_date\": \"23 april 2007\"\n    },\n    {\n      \"_number\": 7,\n      \"air_date\": \"24 april 2007\"\n    },\n    {\n      \"_number\": 8,\n      \"air_date\": \"25 april 2007\"\n    },\n    {\n      \"_number\": 9,\n      \"air_date\": \"26 april 2007\"\n    },\n    {\n      \"_number\": 10,\n      \"air_date\": \"27 april 2007\"\n    }\n  ]\n}", "idx": 31067}
{"context": "CREATE TABLE table_name_71 (enrollment INTEGER, location VARCHAR)", "sql_query": "select max(enrollment) from table_name_71 where location = 'hamilton'", "question": "What's the most enrollment in Hamilton?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"enrollment\": 100,\n      \"location\": \"hamilton\"\n    },\n    {\n      \"enrollment\": 75,\n      \"location\": \"hamilton\"\n    },\n    {\n      \"enrollment\": 50,\n      \"location\": \"new york\"\n    },\n    {\n      \"enrollment\": 80,\n      \"location\": \"new york\"\n    },\n    {\n      \"enrollment\": 120,\n      \"location\": \"chicago\"\n    },\n    {\n      \"enrollment\": 90,\n      \"location\": \"chicago\"\n    },\n    {\n      \"enrollment\": 60,\n      \"location\": \"los angeles\"\n    },\n    {\n      \"enrollment\": 110,\n      \"location\": \"los angeles\"\n    },\n    {\n      \"enrollment\": 70,\n      \"location\": \"miami\"\n    },\n    {\n      \"enrollment\": 95,\n      \"location\": \"miami\"\n    }\n  ]\n}", "idx": 31068}
{"context": "CREATE TABLE table_name_51 (rounds VARCHAR, team VARCHAR)", "sql_query": "select rounds from table_name_51 where team = 'avanzza rosso'", "question": "In what rounds was the featured team of Avanzza Rosso?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"rounds\": \"round 1\",\n      \"team\": \"avanzza rosso\"\n    },\n    {\n      \"rounds\": \"round 2\",\n      \"team\": \"avanzza rosso\"\n    },\n    {\n      \"rounds\": \"round 3\",\n      \"team\": \"avanzza blu\"\n    },\n    {\n      \"rounds\": \"round 4\",\n      \"team\": \"avanzza blu\"\n    },\n    {\n      \"rounds\": \"round 5\",\n      \"team\": \"avanzza verde\"\n    },\n    {\n      \"rounds\": \"round 6\",\n      \"team\": \"avanzza verde\"\n    },\n    {\n      \"rounds\": \"round 7\",\n      \"team\": \"avanzza giallo\"\n    },\n    {\n      \"rounds\": \"round 8\",\n      \"team\": \"avanzza giallo\"\n    },\n    {\n      \"rounds\": \"round 9\",\n      \"team\": \"avanzza nero\"\n    },\n    {\n      \"rounds\": \"round 10\",\n      \"team\": \"avanzza nero\"\n    }\n  ]\n}", "idx": 31069}
{"context": "CREATE TABLE table_name_90 (money___ INTEGER, player VARCHAR)", "sql_query": "select sum(money___) as \u00a3__ from table_name_90 where player = 'payne stewart'", "question": "What is the total amount of money that Payne Stewart has?", "data_table": "{\n  \"table_name_90\": [\n    {\n      \"money___\": 100,\n      \"player\": \"payne stewart\"\n    },\n    {\n      \"money___\": 200,\n      \"player\": \"arnold palmer\"\n    },\n    {\n      \"money___\": 150,\n      \"player\": \"jack nicklaus\"\n    },\n    {\n      \"money___\": 300,\n      \"player\": \"tiger woods\"\n    },\n    {\n      \"money___\": 250,\n      \"player\": \"phil mickelson\"\n    },\n    {\n      \"money___\": 175,\n      \"player\": \"gary player\"\n    },\n    {\n      \"money___\": 400,\n      \"player\": \"lee trevino\"\n    },\n    {\n      \"money___\": 225,\n      \"player\": \"seve ballesteros\"\n    },\n    {\n      \"money___\": 350,\n      \"player\": \"tom watson\"\n    },\n    {\n      \"money___\": 275,\n      \"player\": \"ben hogan\"\n    }\n  ]\n}", "idx": 31070}
{"context": "CREATE TABLE table_name_52 (blood_type VARCHAR, agency VARCHAR)", "sql_query": "select blood_type from table_name_52 where agency = 'vision factory'", "question": "What's the blood type of the member from the vision factory agency?", "data_table": "{\n  \"table_name_52\": [\n    {\n      \"blood_type\": \"a+\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"b-\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"o+\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"ab-\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"a-\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"b+\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"o-\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"ab+\",\n      \"agency\": \"vision factory\"\n    },\n    {\n      \"blood_type\": \"a+\",\n      \"agency\": \"healthcare solutions\"\n    },\n    {\n      \"blood_type\": \"o+\",\n      \"agency\": \"healthcare solutions\"\n    }\n  ]\n}", "idx": 31071}
{"context": "CREATE TABLE ENROLLED_IN (StuID VARCHAR, Grade VARCHAR)", "sql_query": "select count(distinct stuid) from enrolled_in where grade = 'b'", "question": "Find the number of students that have at least one grade \"B\".", "data_table": "{\n  \"enrolled_in\": [\n    {\n      \"stuid\": \"12345\",\n      \"grade\": \"a\"\n    },\n    {\n      \"stuid\": \"67890\",\n      \"grade\": \"b\"\n    },\n    {\n      \"stuid\": \"24680\",\n      \"grade\": \"c\"\n    },\n    {\n      \"stuid\": \"13579\",\n      \"grade\": \"b\"\n    },\n    {\n      \"stuid\": \"97531\",\n      \"grade\": \"a\"\n    },\n    {\n      \"stuid\": \"86420\",\n      \"grade\": \"c\"\n    },\n    {\n      \"stuid\": \"54321\",\n      \"grade\": \"b\"\n    },\n    {\n      \"stuid\": \"98765\",\n      \"grade\": \"a\"\n    },\n    {\n      \"stuid\": \"10293\",\n      \"grade\": \"c\"\n    },\n    {\n      \"stuid\": \"73829\",\n      \"grade\": \"b\"\n    }\n  ]\n}", "idx": 31072}
{"context": "CREATE TABLE table_1242447_2 (strongs__number VARCHAR, english_spelling VARCHAR)", "sql_query": "select strongs__number from table_1242447_2 where english_spelling = 'jirmejah'", "question": "What is the strongs # for the english spelling of the word  jirmejah?", "data_table": "{\n  \"table_1242447_2\": [\n    {\n      \"strongs__number\": \"h1234\",\n      \"english_spelling\": \"jirmejah\"\n    },\n    {\n      \"strongs__number\": \"h5678\",\n      \"english_spelling\": \"jirmejah\"\n    },\n    {\n      \"strongs__number\": \"h4321\",\n      \"english_spelling\": \"jeremiah\"\n    },\n    {\n      \"strongs__number\": \"h9876\",\n      \"english_spelling\": \"jeremiah\"\n    },\n    {\n      \"strongs__number\": \"h2468\",\n      \"english_spelling\": \"jirmejah\"\n    },\n    {\n      \"strongs__number\": \"h1357\",\n      \"english_spelling\": \"jeremiah\"\n    },\n    {\n      \"strongs__number\": \"h8765\",\n      \"english_spelling\": \"jirmejah\"\n    },\n    {\n      \"strongs__number\": \"h5432\",\n      \"english_spelling\": \"jeremiah\"\n    },\n    {\n      \"strongs__number\": \"h7890\",\n      \"english_spelling\": \"jirmejah\"\n    },\n    {\n      \"strongs__number\": \"h3210\",\n      \"english_spelling\": \"jeremiah\"\n    }\n  ]\n}", "idx": 31075}
{"context": "CREATE TABLE table_name_79 (date VARCHAR, record VARCHAR)", "sql_query": "select date from table_name_79 where record = '21-26'", "question": "On what date was the record 21-26?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"record\": \"21-26\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"record\": \"21-26\"\n    }\n  ]\n}", "idx": 31076}
{"context": "CREATE TABLE table_17598822_11 (league VARCHAR, player VARCHAR)", "sql_query": "select count(league) as cup from table_17598822_11 where player = 'mark roberts'", "question": "Name the total number of league cup for mark roberts", "data_table": "{\n  \"table_17598822_11\": [\n    {\n      \"league\": \"premier league\",\n      \"player\": \"mark roberts\"\n    },\n    {\n      \"league\": \"la liga\",\n      \"player\": \"lionel messi\"\n    },\n    {\n      \"league\": \"bundesliga\",\n      \"player\": \"robert lewandowski\"\n    },\n    {\n      \"league\": \"serie a\",\n      \"player\": \"cristiano ronaldo\"\n    },\n    {\n      \"league\": \"ligue 1\",\n      \"player\": \"kylian mbappe\"\n    },\n    {\n      \"league\": \"premier league\",\n      \"player\": \"harry kane\"\n    },\n    {\n      \"league\": \"la liga\",\n      \"player\": \"karim benzema\"\n    },\n    {\n      \"league\": \"bundesliga\",\n      \"player\": \"erling haaland\"\n    },\n    {\n      \"league\": \"serie a\",\n      \"player\": \"romelu lukaku\"\n    },\n    {\n      \"league\": \"ligue 1\",\n      \"player\": \"neymar jr.\"\n    }\n  ]\n}", "idx": 31077}
{"context": "CREATE TABLE table_name_23 (competition VARCHAR, date VARCHAR)", "sql_query": "select competition from table_name_23 where date = '11 feb 1990'", "question": "On 11 Feb 1990, the competition is listed as what?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"competition\": \"basketball\",\n      \"date\": \"11 feb 1990\"\n    },\n    {\n      \"competition\": \"football\",\n      \"date\": \"11 feb 1990\"\n    },\n    {\n      \"competition\": \"tennis\",\n      \"date\": \"12 feb 1990\"\n    },\n    {\n      \"competition\": \"soccer\",\n      \"date\": \"12 feb 1990\"\n    },\n    {\n      \"competition\": \"cricket\",\n      \"date\": \"13 feb 1990\"\n    },\n    {\n      \"competition\": \"rugby\",\n      \"date\": \"13 feb 1990\"\n    },\n    {\n      \"competition\": \"golf\",\n      \"date\": \"14 feb 1990\"\n    },\n    {\n      \"competition\": \"swimming\",\n      \"date\": \"14 feb 1990\"\n    },\n    {\n      \"competition\": \"athletics\",\n      \"date\": \"15 feb 1990\"\n    },\n    {\n      \"competition\": \"badminton\",\n      \"date\": \"15 feb 1990\"\n    }\n  ]\n}", "idx": 31078}
{"context": "CREATE TABLE table_name_86 (round VARCHAR, series VARCHAR, season VARCHAR)", "sql_query": "select round from table_name_86 where series = '5th place' and season = '2006\u201307'", "question": "What is the Round when the series shows 5th place, and a Season of 2006\u201307?", "data_table": "{\n  \"table_name_86\": [\n    {\n      \"round\": \"round 1\",\n      \"series\": \"5th place\",\n      \"season\": \"2006\u201307\"\n    },\n    {\n      \"round\": \"round 2\",\n      \"series\": \"3rd place\",\n      \"season\": \"2006\u201307\"\n    },\n    {\n      \"round\": \"round 3\",\n      \"series\": \"1st place\",\n      \"season\": \"2006\u201307\"\n    },\n    {\n      \"round\": \"round 4\",\n      \"series\": \"2nd place\",\n      \"season\": \"2006\u201307\"\n    },\n    {\n      \"round\": \"round 5\",\n      \"series\": \"4th place\",\n      \"season\": \"2006\u201307\"\n    },\n    {\n      \"round\": \"round 1\",\n      \"series\": \"5th place\",\n      \"season\": \"2007\u201308\"\n    },\n    {\n      \"round\": \"round 2\",\n      \"series\": \"3rd place\",\n      \"season\": \"2007\u201308\"\n    },\n    {\n      \"round\": \"round 3\",\n      \"series\": \"1st place\",\n      \"season\": \"2007\u201308\"\n    },\n    {\n      \"round\": \"round 4\",\n      \"series\": \"2nd place\",\n      \"season\": \"2007\u201308\"\n    },\n    {\n      \"round\": \"round 5\",\n      \"series\": \"4th place\",\n      \"season\": \"2007\u201308\"\n    }\n  ]\n}", "idx": 31079}
{"context": "CREATE TABLE table_name_64 (regular_season VARCHAR, year VARCHAR)", "sql_query": "select regular_season from table_name_64 where year = '1994/95'", "question": "What place did the Nashville Metros place in the 1994/95 Season?", "data_table": "{\n  \"table_name_64\": [\n    {\n      \"regular_season\": \"regular\",\n      \"year\": \"1994/95\"\n    },\n    {\n      \"regular_season\": \"playoffs\",\n      \"year\": \"1994/95\"\n    },\n    {\n      \"regular_season\": \"regular\",\n      \"year\": \"1995/96\"\n    },\n    {\n      \"regular_season\": \"playoffs\",\n      \"year\": \"1995/96\"\n    },\n    {\n      \"regular_season\": \"regular\",\n      \"year\": \"1996/97\"\n    },\n    {\n      \"regular_season\": \"playoffs\",\n      \"year\": \"1996/97\"\n    },\n    {\n      \"regular_season\": \"regular\",\n      \"year\": \"1997/98\"\n    },\n    {\n      \"regular_season\": \"playoffs\",\n      \"year\": \"1997/98\"\n    },\n    {\n      \"regular_season\": \"regular\",\n      \"year\": \"1998/99\"\n    },\n    {\n      \"regular_season\": \"playoffs\",\n      \"year\": \"1998/99\"\n    }\n  ]\n}", "idx": 31080}
{"context": "CREATE TABLE table_name_7 (director VARCHAR, prod_code VARCHAR)", "sql_query": "select director from table_name_7 where prod_code = '40811-005'", "question": "Who directed the episode with production code 40811-005?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"director\": \"john smith\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"jane doe\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"michael johnson\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"emily brown\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"david wilson\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"sarah davis\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"robert taylor\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"jennifer anderson\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"christopher martinez\",\n      \"prod_code\": \"40811-005\"\n    },\n    {\n      \"director\": \"jessica thompson\",\n      \"prod_code\": \"40811-005\"\n    }\n  ]\n}", "idx": 31081}
{"context": "CREATE TABLE table_name_64 (tournament VARCHAR, date VARCHAR)", "sql_query": "select tournament from table_name_64 where date = '20 december 2010'", "question": "What Tournament has a Date of 20 december 2010?", "data_table": "{\n  \"table_name_64\": [\n    {\n      \"tournament\": \"championship\",\n      \"date\": \"20 december 2010\"\n    },\n    {\n      \"tournament\": \"cup\",\n      \"date\": \"15 november 2011\"\n    },\n    {\n      \"tournament\": \"league\",\n      \"date\": \"10 october 2012\"\n    },\n    {\n      \"tournament\": \"friendly\",\n      \"date\": \"5 september 2013\"\n    },\n    {\n      \"tournament\": \"cup\",\n      \"date\": \"1 august 2014\"\n    },\n    {\n      \"tournament\": \"championship\",\n      \"date\": \"25 july 2015\"\n    },\n    {\n      \"tournament\": \"league\",\n      \"date\": \"20 june 2016\"\n    },\n    {\n      \"tournament\": \"friendly\",\n      \"date\": \"15 may 2017\"\n    },\n    {\n      \"tournament\": \"cup\",\n      \"date\": \"10 april 2018\"\n    },\n    {\n      \"tournament\": \"championship\",\n      \"date\": \"5 march 2019\"\n    }\n  ]\n}", "idx": 31082}
{"context": "CREATE TABLE table_name_63 (opponent VARCHAR, score VARCHAR)", "sql_query": "select opponent from table_name_63 where score = '95-118'", "question": "Who did they play when the score was 95-118?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"opponent\": \"team a\",\n      \"score\": \"95-118\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"score\": \"85-102\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"score\": \"100-90\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"score\": \"95-118\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"score\": \"80-105\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"score\": \"95-118\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"score\": \"75-110\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"score\": \"95-118\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"score\": \"90-100\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"score\": \"95-118\"\n    }\n  ]\n}", "idx": 31083}
{"context": "CREATE TABLE table_name_73 (date VARCHAR, callback_venue VARCHAR)", "sql_query": "select date from table_name_73 where callback_venue = 'total tickets to hollywood'", "question": "What day has a callback Venue of total tickets to hollywood? Question", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"callback_venue\": \"total tickets to hollywood\"\n    },\n    {\n      \"date\": \"2022-02-15\",\n      \"callback_venue\": \"red carpet event\"\n    },\n    {\n      \"date\": \"2022-03-10\",\n      \"callback_venue\": \"total tickets to hollywood\"\n    },\n    {\n      \"date\": \"2022-04-05\",\n      \"callback_venue\": \"premiere night\"\n    },\n    {\n      \"date\": \"2022-05-20\",\n      \"callback_venue\": \"total tickets to hollywood\"\n    },\n    {\n      \"date\": \"2022-06-12\",\n      \"callback_venue\": \"after-party\"\n    },\n    {\n      \"date\": \"2022-07-18\",\n      \"callback_venue\": \"total tickets to hollywood\"\n    },\n    {\n      \"date\": \"2022-08-30\",\n      \"callback_venue\": \"press conference\"\n    },\n    {\n      \"date\": \"2022-09-25\",\n      \"callback_venue\": \"total tickets to hollywood\"\n    },\n    {\n      \"date\": \"2022-10-11\",\n      \"callback_venue\": \"award ceremony\"\n    }\n  ]\n}", "idx": 31084}
{"context": "CREATE TABLE table_name_21 (date VARCHAR, home VARCHAR, visitor VARCHAR)", "sql_query": "select date from table_name_21 where home = 'detroit' and visitor = 'colorado'", "question": "What is the date of the match when Detroit is the home team and Colorado is the visiting team?", "data_table": "{\n  \"table_name_21\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"home\": \"detroit\",\n      \"visitor\": \"colorado\"\n    }\n  ]\n}", "idx": 31085}
{"context": "CREATE TABLE table_name_86 (report VARCHAR, date VARCHAR)", "sql_query": "select report from table_name_86 where date = '30 july'", "question": "Tell me the report for 30 july", "data_table": "{\n  \"table_name_86\": [\n    {\n      \"report\": \"report 1\",\n      \"date\": \"30 july\"\n    },\n    {\n      \"report\": \"report 2\",\n      \"date\": \"30 july\"\n    },\n    {\n      \"report\": \"report 3\",\n      \"date\": \"31 july\"\n    },\n    {\n      \"report\": \"report 4\",\n      \"date\": \"31 july\"\n    },\n    {\n      \"report\": \"report 5\",\n      \"date\": \"1 august\"\n    },\n    {\n      \"report\": \"report 6\",\n      \"date\": \"1 august\"\n    },\n    {\n      \"report\": \"report 7\",\n      \"date\": \"2 august\"\n    },\n    {\n      \"report\": \"report 8\",\n      \"date\": \"2 august\"\n    },\n    {\n      \"report\": \"report 9\",\n      \"date\": \"3 august\"\n    },\n    {\n      \"report\": \"report 10\",\n      \"date\": \"3 august\"\n    }\n  ]\n}", "idx": 31086}
{"context": "CREATE TABLE table_27515452_3 (age INTEGER, hometown VARCHAR)", "sql_query": "select max(age) from table_27515452_3 where hometown = 'veraguas'", "question": "what is the oldest and lives in veraguas", "data_table": "{\n  \"table_27515452_3\": [\n    {\n      \"age\": 25,\n      \"hometown\": \"veraguas\"\n    },\n    {\n      \"age\": 32,\n      \"hometown\": \"veraguas\"\n    },\n    {\n      \"age\": 18,\n      \"hometown\": \"panama\"\n    },\n    {\n      \"age\": 40,\n      \"hometown\": \"veraguas\"\n    },\n    {\n      \"age\": 22,\n      \"hometown\": \"chiriqui\"\n    },\n    {\n      \"age\": 28,\n      \"hometown\": \"veraguas\"\n    },\n    {\n      \"age\": 35,\n      \"hometown\": \"cocle\"\n    },\n    {\n      \"age\": 19,\n      \"hometown\": \"veraguas\"\n    },\n    {\n      \"age\": 30,\n      \"hometown\": \"veraguas\"\n    },\n    {\n      \"age\": 27,\n      \"hometown\": \"herrera\"\n    }\n  ]\n}", "idx": 31087}
{"context": "CREATE TABLE TRANSACTIONS (transaction_type_code VARCHAR)", "sql_query": "select transaction_type_code from transactions group by transaction_type_code order by count(*) desc limit 1", "question": "Show the transaction type code that occurs the most frequently.", "data_table": "{\n  \"transactions\": [\n    {\n      \"transaction_type_code\": \"a\"\n    },\n    {\n      \"transaction_type_code\": \"b\"\n    },\n    {\n      \"transaction_type_code\": \"c\"\n    },\n    {\n      \"transaction_type_code\": \"d\"\n    },\n    {\n      \"transaction_type_code\": \"e\"\n    },\n    {\n      \"transaction_type_code\": \"f\"\n    },\n    {\n      \"transaction_type_code\": \"g\"\n    },\n    {\n      \"transaction_type_code\": \"h\"\n    },\n    {\n      \"transaction_type_code\": \"i\"\n    },\n    {\n      \"transaction_type_code\": \"j\"\n    }\n  ]\n}", "idx": 31088}
{"context": "CREATE TABLE table_29302781_12 (week_of VARCHAR, runner_up VARCHAR)", "sql_query": "select week_of from table_29302781_12 where runner_up = 'pat du pr\u00e9'", "question": "In the week of what was the runner-up Pat Du Pr\u00e9?", "data_table": "{\n  \"table_29302781_12\": [\n    {\n      \"week_of\": \"2022-01-01\",\n      \"runner_up\": \"john doe\"\n    },\n    {\n      \"week_of\": \"2022-01-01\",\n      \"runner_up\": \"jane smith\"\n    },\n    {\n      \"week_of\": \"2022-01-08\",\n      \"runner_up\": \"pat du pr\u00e9\"\n    },\n    {\n      \"week_of\": \"2022-01-08\",\n      \"runner_up\": \"michael johnson\"\n    },\n    {\n      \"week_of\": \"2022-01-15\",\n      \"runner_up\": \"sara thompson\"\n    },\n    {\n      \"week_of\": \"2022-01-15\",\n      \"runner_up\": \"pat du pr\u00e9\"\n    },\n    {\n      \"week_of\": \"2022-01-22\",\n      \"runner_up\": \"pat du pr\u00e9\"\n    },\n    {\n      \"week_of\": \"2022-01-22\",\n      \"runner_up\": \"alex brown\"\n    },\n    {\n      \"week_of\": \"2022-01-29\",\n      \"runner_up\": \"pat du pr\u00e9\"\n    },\n    {\n      \"week_of\": \"2022-01-29\",\n      \"runner_up\": \"emily davis\"\n    }\n  ]\n}", "idx": 31090}
{"context": "CREATE TABLE table_name_74 (position VARCHAR, player VARCHAR)", "sql_query": "select position from table_name_74 where player = 'jeff brown'", "question": "What position is Jeff Brown?", "data_table": "{\n  \"table_name_74\": [\n    {\n      \"position\": \"forward\",\n      \"player\": \"jeff brown\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"player\": \"john smith\"\n    },\n    {\n      \"position\": \"defender\",\n      \"player\": \"mike johnson\"\n    },\n    {\n      \"position\": \"goalkeeper\",\n      \"player\": \"david wilson\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"alexander jones\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"player\": \"chris thompson\"\n    },\n    {\n      \"position\": \"defender\",\n      \"player\": \"ryan anderson\"\n    },\n    {\n      \"position\": \"goalkeeper\",\n      \"player\": \"matthew harris\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"daniel martin\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"player\": \"james wilson\"\n    }\n  ]\n}", "idx": 31091}
{"context": "CREATE TABLE table_name_93 (lane INTEGER, time VARCHAR)", "sql_query": "select avg(lane) from table_name_93 where time = '1:00.66'", "question": "What's the lane with a time of 1:00.66?", "data_table": "{\n  \"table_name_93\": [\n    {\n      \"lane\": 1,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 2,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 3,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 4,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 5,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 6,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 7,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 8,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 9,\n      \"time\": \"1:00.66\"\n    },\n    {\n      \"lane\": 10,\n      \"time\": \"1:00.66\"\n    }\n  ]\n}", "idx": 31092}
{"context": "CREATE TABLE table_name_97 (year VARCHAR, category VARCHAR)", "sql_query": "select year from table_name_97 where category = 'best costume design'", "question": "What year was best costume design the award category?", "data_table": "{\n  \"table_name_97\": [\n    {\n      \"year\": \"2015\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2016\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2017\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2018\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2019\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2020\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2021\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2022\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2023\",\n      \"category\": \"best costume design\"\n    },\n    {\n      \"year\": \"2024\",\n      \"category\": \"best costume design\"\n    }\n  ]\n}", "idx": 31093}
{"context": "CREATE TABLE table_name_7 (tie_no VARCHAR, away_team VARCHAR)", "sql_query": "select tie_no from table_name_7 where away_team = 'bradford city'", "question": "What was the Tie Number of the Bradford City away team?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"tie_no\": \"1234\",\n      \"away_team\": \"bradford city\"\n    },\n    {\n      \"tie_no\": \"5678\",\n      \"away_team\": \"manchester united\"\n    },\n    {\n      \"tie_no\": \"91011\",\n      \"away_team\": \"liverpool\"\n    },\n    {\n      \"tie_no\": \"121314\",\n      \"away_team\": \"chelsea\"\n    },\n    {\n      \"tie_no\": \"151617\",\n      \"away_team\": \"arsenal\"\n    },\n    {\n      \"tie_no\": \"181920\",\n      \"away_team\": \"tottenham hotspur\"\n    },\n    {\n      \"tie_no\": \"212223\",\n      \"away_team\": \"manchester city\"\n    },\n    {\n      \"tie_no\": \"242526\",\n      \"away_team\": \"leicester city\"\n    },\n    {\n      \"tie_no\": \"272829\",\n      \"away_team\": \"everton\"\n    },\n    {\n      \"tie_no\": \"303132\",\n      \"away_team\": \"newcastle united\"\n    }\n  ]\n}", "idx": 31094}
{"context": "CREATE TABLE table_name_54 (goals VARCHAR, player VARCHAR)", "sql_query": "select goals from table_name_54 where player = 'eugene galekovi\u0107'", "question": "How many goals were scored by Eugene Galekovi\u0107?", "data_table": "{\n  \"table_name_54\": [\n    {\n      \"goals\": \"3\",\n      \"player\": \"eugene galekovi\u0107\"\n    },\n    {\n      \"goals\": \"1\",\n      \"player\": \"john doe\"\n    },\n    {\n      \"goals\": \"5\",\n      \"player\": \"jane smith\"\n    },\n    {\n      \"goals\": \"2\",\n      \"player\": \"michael johnson\"\n    },\n    {\n      \"goals\": \"4\",\n      \"player\": \"sarah brown\"\n    },\n    {\n      \"goals\": \"2\",\n      \"player\": \"robert jones\"\n    },\n    {\n      \"goals\": \"3\",\n      \"player\": \"emily wilson\"\n    },\n    {\n      \"goals\": \"1\",\n      \"player\": \"david anderson\"\n    },\n    {\n      \"goals\": \"4\",\n      \"player\": \"lisa thompson\"\n    },\n    {\n      \"goals\": \"2\",\n      \"player\": \"james taylor\"\n    }\n  ]\n}", "idx": 31095}
{"context": "CREATE TABLE table_name_55 (airport VARCHAR, country VARCHAR, icao VARCHAR)", "sql_query": "select airport from table_name_55 where country = 'china' and icao = 'zbaa'", "question": "What airport is in China with an ICAO of zbaa?", "data_table": "{\n  \"table_name_55\": [\n    {\n      \"airport\": \"john f. kennedy international airport\",\n      \"country\": \"united states\",\n      \"icao\": \"kjfk\"\n    },\n    {\n      \"airport\": \"beijing capital international airport\",\n      \"country\": \"china\",\n      \"icao\": \"zbaa\"\n    },\n    {\n      \"airport\": \"heathrow airport\",\n      \"country\": \"united kingdom\",\n      \"icao\": \"egll\"\n    },\n    {\n      \"airport\": \"sydney airport\",\n      \"country\": \"australia\",\n      \"icao\": \"yssy\"\n    },\n    {\n      \"airport\": \"charles de gaulle airport\",\n      \"country\": \"france\",\n      \"icao\": \"lfpg\"\n    },\n    {\n      \"airport\": \"dubai international airport\",\n      \"country\": \"united arab emirates\",\n      \"icao\": \"omdb\"\n    },\n    {\n      \"airport\": \"tokyo haneda airport\",\n      \"country\": \"japan\",\n      \"icao\": \"rjtt\"\n    },\n    {\n      \"airport\": \"frankfurt airport\",\n      \"country\": \"germany\",\n      \"icao\": \"eddf\"\n    },\n    {\n      \"airport\": \"incheon international airport\",\n      \"country\": \"south korea\",\n      \"icao\": \"rksi\"\n    },\n    {\n      \"airport\": \"singapore changi airport\",\n      \"country\": \"singapore\",\n      \"icao\": \"wsss\"\n    }\n  ]\n}", "idx": 31096}
{"context": "CREATE TABLE table_name_87 (investing_dragon_s_ VARCHAR, money_requested__\u00a3_ VARCHAR)", "sql_query": "select investing_dragon_s_ from table_name_87 where money_requested__\u00a3_ = '100,000'", "question": "What Investing Dragons had a request of \u00a3100,000?", "data_table": "{\n  \"table_name_87\": [\n    {\n      \"investing_dragon_s_\": \"john\",\n      \"money_requested__\u00a3_\": \"100,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"jane\",\n      \"money_requested__\u00a3_\": \"200,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"mike\",\n      \"money_requested__\u00a3_\": \"150,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"sarah\",\n      \"money_requested__\u00a3_\": \"100,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"david\",\n      \"money_requested__\u00a3_\": \"300,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"emily\",\n      \"money_requested__\u00a3_\": \"250,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"alex\",\n      \"money_requested__\u00a3_\": \"200,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"olivia\",\n      \"money_requested__\u00a3_\": \"150,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"daniel\",\n      \"money_requested__\u00a3_\": \"100,000\"\n    },\n    {\n      \"investing_dragon_s_\": \"sophia\",\n      \"money_requested__\u00a3_\": \"250,000\"\n    }\n  ]\n}", "idx": 31097}
{"context": "CREATE TABLE table_name_65 (gold INTEGER, nation VARCHAR)", "sql_query": "select min(gold) from table_name_65 where nation = 'denmark'", "question": "How many gold medals did Denmark win?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"gold\": 5,\n      \"nation\": \"denmark\"\n    },\n    {\n      \"gold\": 3,\n      \"nation\": \"germany\"\n    },\n    {\n      \"gold\": 2,\n      \"nation\": \"france\"\n    },\n    {\n      \"gold\": 7,\n      \"nation\": \"italy\"\n    },\n    {\n      \"gold\": 4,\n      \"nation\": \"spain\"\n    },\n    {\n      \"gold\": 1,\n      \"nation\": \"sweden\"\n    },\n    {\n      \"gold\": 6,\n      \"nation\": \"norway\"\n    },\n    {\n      \"gold\": 9,\n      \"nation\": \"netherlands\"\n    },\n    {\n      \"gold\": 8,\n      \"nation\": \"united kingdom\"\n    },\n    {\n      \"gold\": 10,\n      \"nation\": \"russia\"\n    }\n  ]\n}", "idx": 31098}
{"context": "CREATE TABLE table_name_96 (score_in_the_final VARCHAR, championship VARCHAR, outcome VARCHAR)", "sql_query": "select score_in_the_final from table_name_96 where championship = 'athens , greece' and outcome = 'winner'", "question": "What is Score In The Final, when Championship is \"Athens , Greece\", and when Outcome is \"Winner\"?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"score_in_the_final\": \"10-5\",\n      \"championship\": \"athens , greece\",\n      \"outcome\": \"winner\"\n    },\n    {\n      \"score_in_the_final\": \"7-3\",\n      \"championship\": \"paris , france\",\n      \"outcome\": \"loser\"\n    },\n    {\n      \"score_in_the_final\": \"12-8\",\n      \"championship\": \"rome , italy\",\n      \"outcome\": \"winner\"\n    },\n    {\n      \"score_in_the_final\": \"6-4\",\n      \"championship\": \"london , england\",\n      \"outcome\": \"loser\"\n    },\n    {\n      \"score_in_the_final\": \"9-6\",\n      \"championship\": \"berlin , germany\",\n      \"outcome\": \"winner\"\n    },\n    {\n      \"score_in_the_final\": \"11-7\",\n      \"championship\": \"madrid , spain\",\n      \"outcome\": \"loser\"\n    },\n    {\n      \"score_in_the_final\": \"8-5\",\n      \"championship\": \"amsterdam , netherlands\",\n      \"outcome\": \"winner\"\n    },\n    {\n      \"score_in_the_final\": \"5-3\",\n      \"championship\": \"vienna , austria\",\n      \"outcome\": \"loser\"\n    },\n    {\n      \"score_in_the_final\": \"10-6\",\n      \"championship\": \"lisbon , portugal\",\n      \"outcome\": \"winner\"\n    },\n    {\n      \"score_in_the_final\": \"7-4\",\n      \"championship\": \"prague , czech republic\",\n      \"outcome\": \"loser\"\n    }\n  ]\n}", "idx": 31099}
{"context": "CREATE TABLE table_name_95 (time VARCHAR, away VARCHAR)", "sql_query": "select time from table_name_95 where away = 'central blues'", "question": "What is Time, when Away is Central Blues?", "data_table": "{\n  \"table_name_95\": [\n    {\n      \"time\": \"2022-01-01 09:00:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-02 14:30:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-03 18:45:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-04 12:15:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-05 20:00:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-06 15:45:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-07 11:30:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-08 17:00:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-09 13:45:00\",\n      \"away\": \"central blues\"\n    },\n    {\n      \"time\": \"2022-01-10 19:30:00\",\n      \"away\": \"central blues\"\n    }\n  ]\n}", "idx": 31102}
{"context": "CREATE TABLE table_name_27 (total_votes VARCHAR, members VARCHAR)", "sql_query": "select total_votes from table_name_27 where members = 'holly scouler'", "question": "What were Holly Scouler's total votes?", "data_table": "{\n  \"table_name_27\": [\n    {\n      \"total_votes\": \"100\",\n      \"members\": \"holly scouler\"\n    },\n    {\n      \"total_votes\": \"50\",\n      \"members\": \"john doe\"\n    },\n    {\n      \"total_votes\": \"75\",\n      \"members\": \"jane smith\"\n    },\n    {\n      \"total_votes\": \"200\",\n      \"members\": \"alex johnson\"\n    },\n    {\n      \"total_votes\": \"150\",\n      \"members\": \"emma wilson\"\n    },\n    {\n      \"total_votes\": \"80\",\n      \"members\": \"michael brown\"\n    },\n    {\n      \"total_votes\": \"120\",\n      \"members\": \"sarah jones\"\n    },\n    {\n      \"total_votes\": \"90\",\n      \"members\": \"david miller\"\n    },\n    {\n      \"total_votes\": \"60\",\n      \"members\": \"olivia thompson\"\n    },\n    {\n      \"total_votes\": \"110\",\n      \"members\": \"william taylor\"\n    }\n  ]\n}", "idx": 31103}
{"context": "CREATE TABLE table_name_6 (name VARCHAR, death VARCHAR)", "sql_query": "select name from table_name_6 where death = '2001'", "question": "What is the name with a death in 2001?", "data_table": "{\n  \"table_name_6\": [\n    {\n      \"name\": \"john\",\n      \"death\": \"2001\"\n    },\n    {\n      \"name\": \"emily\",\n      \"death\": \"2001\"\n    },\n    {\n      \"name\": \"michael\",\n      \"death\": \"2002\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"death\": \"2003\"\n    },\n    {\n      \"name\": \"william\",\n      \"death\": \"2004\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"death\": \"2005\"\n    },\n    {\n      \"name\": \"james\",\n      \"death\": \"2006\"\n    },\n    {\n      \"name\": \"emma\",\n      \"death\": \"2007\"\n    },\n    {\n      \"name\": \"benjamin\",\n      \"death\": \"2008\"\n    },\n    {\n      \"name\": \"ava\",\n      \"death\": \"2009\"\n    }\n  ]\n}", "idx": 31104}
{"context": "CREATE TABLE table_name_89 (week VARCHAR, opponent VARCHAR)", "sql_query": "select count(week) from table_name_89 where opponent = 'pittsburgh steelers'", "question": "How many weeks have pittsburgh steelers as the opponent?", "data_table": "{\n  \"table_name_89\": [\n    {\n      \"week\": \"week 1\",\n      \"opponent\": \"pittsburgh steelers\"\n    },\n    {\n      \"week\": \"week 2\",\n      \"opponent\": \"cleveland browns\"\n    },\n    {\n      \"week\": \"week 3\",\n      \"opponent\": \"baltimore ravens\"\n    },\n    {\n      \"week\": \"week 4\",\n      \"opponent\": \"cincinnati bengals\"\n    },\n    {\n      \"week\": \"week 5\",\n      \"opponent\": \"pittsburgh steelers\"\n    },\n    {\n      \"week\": \"week 6\",\n      \"opponent\": \"cleveland browns\"\n    },\n    {\n      \"week\": \"week 7\",\n      \"opponent\": \"baltimore ravens\"\n    },\n    {\n      \"week\": \"week 8\",\n      \"opponent\": \"cincinnati bengals\"\n    },\n    {\n      \"week\": \"week 9\",\n      \"opponent\": \"pittsburgh steelers\"\n    },\n    {\n      \"week\": \"week 10\",\n      \"opponent\": \"cleveland browns\"\n    }\n  ]\n}", "idx": 31106}
{"context": "CREATE TABLE table_17288845_7 (game INTEGER, date VARCHAR)", "sql_query": "select max(game) from table_17288845_7 where date = 'january 19'", "question": "What is the number of the game that was played on January 19?", "data_table": "{\n  \"table_17288845_7\": [\n    {\n      \"game\": 1,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 2,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 3,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 4,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 5,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 6,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 7,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 8,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 9,\n      \"date\": \"january 19\"\n    },\n    {\n      \"game\": 10,\n      \"date\": \"january 19\"\n    }\n  ]\n}", "idx": 31107}
{"context": "CREATE TABLE table_22839669_1 (outcome VARCHAR, score_in_the_final VARCHAR)", "sql_query": "select outcome from table_22839669_1 where score_in_the_final = '4\u20136, 3\u20136, 2\u20136'", "question": "What was the outcome of the match with score 4\u20136, 3\u20136, 2\u20136?", "data_table": "{\n  \"table_22839669_1\": [\n    {\n      \"outcome\": \"win\",\n      \"score_in_the_final\": \"6\u20134, 6\u20133, 6\u20132\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"score_in_the_final\": \"4\u20136, 3\u20136, 2\u20136\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"score_in_the_final\": \"7\u20135, 6\u20134, 6\u20133\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"score_in_the_final\": \"2\u20136, 4\u20136, 1\u20136\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"score_in_the_final\": \"6\u20133, 6\u20132, 6\u20131\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"score_in_the_final\": \"4\u20136, 6\u20137, 3\u20136\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"score_in_the_final\": \"6\u20132, 6\u20134, 6\u20133\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"score_in_the_final\": \"3\u20136, 4\u20136, 2\u20136\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"score_in_the_final\": \"6\u20134, 7\u20136, 6\u20133\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"score_in_the_final\": \"1\u20136, 2\u20136, 0\u20136\"\n    }\n  ]\n}", "idx": 31108}
{"context": "CREATE TABLE table_1341718_14 (first_elected INTEGER, district VARCHAR)", "sql_query": "select max(first_elected) from table_1341718_14 where district = 'illinois 7'", "question": "what was the year first elected for district illinois 7?", "data_table": "{\n  \"table_1341718_14\": [\n    {\n      \"first_elected\": 2010,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2008,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2012,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2006,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2014,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2004,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2016,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2002,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2018,\n      \"district\": \"illinois 7\"\n    },\n    {\n      \"first_elected\": 2000,\n      \"district\": \"illinois 7\"\n    }\n  ]\n}", "idx": 31109}
{"context": "CREATE TABLE table_1676073_13 (points VARCHAR, points_difference VARCHAR)", "sql_query": "select points from table_1676073_13 where points_difference = '+119'", "question": "What is the total points when the point difference is +119?", "data_table": "{\n  \"table_1676073_13\": [\n    {\n      \"points\": \"10\",\n      \"points_difference\": \"+119\"\n    },\n    {\n      \"points\": \"15\",\n      \"points_difference\": \"-50\"\n    },\n    {\n      \"points\": \"20\",\n      \"points_difference\": \"+75\"\n    },\n    {\n      \"points\": \"25\",\n      \"points_difference\": \"+119\"\n    },\n    {\n      \"points\": \"30\",\n      \"points_difference\": \"-30\"\n    },\n    {\n      \"points\": \"35\",\n      \"points_difference\": \"+119\"\n    },\n    {\n      \"points\": \"40\",\n      \"points_difference\": \"-80\"\n    },\n    {\n      \"points\": \"45\",\n      \"points_difference\": \"+119\"\n    },\n    {\n      \"points\": \"50\",\n      \"points_difference\": \"+10\"\n    },\n    {\n      \"points\": \"55\",\n      \"points_difference\": \"+119\"\n    }\n  ]\n}", "idx": 31110}
{"context": "CREATE TABLE table_name_7 (category VARCHAR, award VARCHAR)", "sql_query": "select category from table_name_7 where award = '2nd melon music awards'", "question": "Name the category for 2nd melon music awards", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"category\": \"pop\",\n      \"award\": \"1st melon music awards\"\n    },\n    {\n      \"category\": \"rock\",\n      \"award\": \"2nd melon music awards\"\n    },\n    {\n      \"category\": \"hip hop\",\n      \"award\": \"3rd melon music awards\"\n    },\n    {\n      \"category\": \"r&b\",\n      \"award\": \"2nd melon music awards\"\n    },\n    {\n      \"category\": \"electronic\",\n      \"award\": \"1st melon music awards\"\n    },\n    {\n      \"category\": \"indie\",\n      \"award\": \"3rd melon music awards\"\n    },\n    {\n      \"category\": \"pop\",\n      \"award\": \"2nd melon music awards\"\n    },\n    {\n      \"category\": \"rock\",\n      \"award\": \"1st melon music awards\"\n    },\n    {\n      \"category\": \"hip hop\",\n      \"award\": \"2nd melon music awards\"\n    },\n    {\n      \"category\": \"r&b\",\n      \"award\": \"3rd melon music awards\"\n    }\n  ]\n}", "idx": 31111}
{"context": "CREATE TABLE table_name_44 (institution VARCHAR, location VARCHAR)", "sql_query": "select institution from table_name_44 where location = 'reading, pa'", "question": "Which institution is located in Reading, PA?", "data_table": "{\n  \"table_name_44\": [\n    {\n      \"institution\": \"university of abc\",\n      \"location\": \"reading, pa\"\n    },\n    {\n      \"institution\": \"xyz college\",\n      \"location\": \"philadelphia, pa\"\n    },\n    {\n      \"institution\": \"abc university\",\n      \"location\": \"reading, pa\"\n    },\n    {\n      \"institution\": \"def institute\",\n      \"location\": \"harrisburg, pa\"\n    },\n    {\n      \"institution\": \"ghi college\",\n      \"location\": \"pittsburgh, pa\"\n    },\n    {\n      \"institution\": \"jkl university\",\n      \"location\": \"reading, pa\"\n    },\n    {\n      \"institution\": \"mno institute\",\n      \"location\": \"allentown, pa\"\n    },\n    {\n      \"institution\": \"pqr college\",\n      \"location\": \"reading, pa\"\n    },\n    {\n      \"institution\": \"stu university\",\n      \"location\": \"erie, pa\"\n    },\n    {\n      \"institution\": \"vwx institute\",\n      \"location\": \"reading, pa\"\n    }\n  ]\n}", "idx": 31113}
{"context": "CREATE TABLE table_name_79 (block INTEGER, director VARCHAR)", "sql_query": "select min(block) from table_name_79 where director = 'graeme harper'", "question": "What is the lowest block for director Graeme Harper?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"block\": 1,\n      \"director\": \"graeme harper\"\n    },\n    {\n      \"block\": 2,\n      \"director\": \"steven moffat\"\n    },\n    {\n      \"block\": 3,\n      \"director\": \"rachel talalay\"\n    },\n    {\n      \"block\": 4,\n      \"director\": \"peter jackson\"\n    },\n    {\n      \"block\": 5,\n      \"director\": \"david yates\"\n    },\n    {\n      \"block\": 6,\n      \"director\": \"joss whedon\"\n    },\n    {\n      \"block\": 7,\n      \"director\": \"christopher nolan\"\n    },\n    {\n      \"block\": 8,\n      \"director\": \"alfonso cuaron\"\n    },\n    {\n      \"block\": 9,\n      \"director\": \"martin scorsese\"\n    },\n    {\n      \"block\": 10,\n      \"director\": \"quentin tarantino\"\n    }\n  ]\n}", "idx": 31114}
{"context": "CREATE TABLE table_26358264_2 (winning_aircraft VARCHAR, country VARCHAR)", "sql_query": "select winning_aircraft from table_26358264_2 where country = 'united arab emirates'", "question": "When united arab emirates is the country what is the winning aircraft?", "data_table": "{\n  \"table_26358264_2\": [\n    {\n      \"winning_aircraft\": \"f-16\",\n      \"country\": \"united arab emirates\"\n    },\n    {\n      \"winning_aircraft\": \"rafale\",\n      \"country\": \"france\"\n    },\n    {\n      \"winning_aircraft\": \"su-35\",\n      \"country\": \"russia\"\n    },\n    {\n      \"winning_aircraft\": \"typhoon\",\n      \"country\": \"united kingdom\"\n    },\n    {\n      \"winning_aircraft\": \"f-35\",\n      \"country\": \"united states\"\n    },\n    {\n      \"winning_aircraft\": \"j-20\",\n      \"country\": \"china\"\n    },\n    {\n      \"winning_aircraft\": \"mig-29\",\n      \"country\": \"russia\"\n    },\n    {\n      \"winning_aircraft\": \"gripen\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"winning_aircraft\": \"f-15\",\n      \"country\": \"united states\"\n    },\n    {\n      \"winning_aircraft\": \"eurofighter\",\n      \"country\": \"germany\"\n    }\n  ]\n}", "idx": 31115}
{"context": "CREATE TABLE table_name_87 (attendance VARCHAR, opponent VARCHAR)", "sql_query": "select count(attendance) from table_name_87 where opponent = 'minnesota vikings'", "question": "What is the Attendance of the game against Minnesota Vikings?", "data_table": "{\n  \"table_name_87\": [\n    {\n      \"attendance\": \"50000\",\n      \"opponent\": \"minnesota vikings\"\n    },\n    {\n      \"attendance\": \"45000\",\n      \"opponent\": \"green bay packers\"\n    },\n    {\n      \"attendance\": \"55000\",\n      \"opponent\": \"chicago bears\"\n    },\n    {\n      \"attendance\": \"60000\",\n      \"opponent\": \"detroit lions\"\n    },\n    {\n      \"attendance\": \"40000\",\n      \"opponent\": \"new york giants\"\n    },\n    {\n      \"attendance\": \"35000\",\n      \"opponent\": \"philadelphia eagles\"\n    },\n    {\n      \"attendance\": \"42000\",\n      \"opponent\": \"washington football team\"\n    },\n    {\n      \"attendance\": \"48000\",\n      \"opponent\": \"san francisco 49ers\"\n    },\n    {\n      \"attendance\": \"53000\",\n      \"opponent\": \"seattle seahawks\"\n    },\n    {\n      \"attendance\": \"38000\",\n      \"opponent\": \"arizona cardinals\"\n    }\n  ]\n}", "idx": 31116}
{"context": "CREATE TABLE table_name_6 (laps VARCHAR, time_retired VARCHAR)", "sql_query": "select count(laps) from table_name_6 where time_retired = '+9.682'", "question": "What is the total number of laps during the race that had a time of +9.682?", "data_table": "{\n  \"table_name_6\": [\n    {\n      \"laps\": \"10\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"8\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"5\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"3\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"7\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"6\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"4\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"9\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"2\",\n      \"time_retired\": \"+9.682\"\n    },\n    {\n      \"laps\": \"1\",\n      \"time_retired\": \"+9.682\"\n    }\n  ]\n}", "idx": 31117}
{"context": "CREATE TABLE table_name_89 (date VARCHAR, score VARCHAR)", "sql_query": "select date from table_name_89 where score = '2\u20134'", "question": "On what date was the score 2\u20134?", "data_table": "{\n  \"table_name_89\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"score\": \"2\u20134\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"score\": \"5\u20137\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"score\": \"2\u20134\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"score\": \"8\u201310\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"score\": \"2\u20134\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"score\": \"11\u201313\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"score\": \"2\u20134\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"score\": \"14\u201316\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"score\": \"2\u20134\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"score\": \"17\u201319\"\n    }\n  ]\n}", "idx": 31118}
{"context": "CREATE TABLE table_25926120_7 (name_of_award VARCHAR, awardee_s_ VARCHAR)", "sql_query": "select name_of_award from table_25926120_7 where awardee_s_ = 'elangbam natasha'", "question": "what is the name of award when the awardee(s) is elangbam natasha?", "data_table": "{\n  \"table_25926120_7\": [\n    {\n      \"name_of_award\": \"best actress\",\n      \"awardee_s_\": \"elangbam natasha\"\n    },\n    {\n      \"name_of_award\": \"best director\",\n      \"awardee_s_\": \"john smith\"\n    },\n    {\n      \"name_of_award\": \"best supporting actor\",\n      \"awardee_s_\": \"jane doe\"\n    },\n    {\n      \"name_of_award\": \"best cinematography\",\n      \"awardee_s_\": \"michael johnson\"\n    },\n    {\n      \"name_of_award\": \"best original score\",\n      \"awardee_s_\": \"emily thompson\"\n    },\n    {\n      \"name_of_award\": \"best screenplay\",\n      \"awardee_s_\": \"robert davis\"\n    },\n    {\n      \"name_of_award\": \"best costume design\",\n      \"awardee_s_\": \"sarah wilson\"\n    },\n    {\n      \"name_of_award\": \"best visual effects\",\n      \"awardee_s_\": \"david brown\"\n    },\n    {\n      \"name_of_award\": \"best supporting actress\",\n      \"awardee_s_\": \"olivia johnson\"\n    },\n    {\n      \"name_of_award\": \"best picture\",\n      \"awardee_s_\": \"christopher lee\"\n    }\n  ]\n}", "idx": 31119}
{"context": "CREATE TABLE table_name_50 (attendance VARCHAR, home VARCHAR, decision VARCHAR)", "sql_query": "select count(attendance) from table_name_50 where home = 'detroit' and decision = 'hasek'", "question": "What is the total attendance for Detroit on hasek?", "data_table": "{\n  \"table_name_50\": [\n    {\n      \"attendance\": \"10000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"15000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"20000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"12000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"18000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"9000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"13000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"17000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"11000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    },\n    {\n      \"attendance\": \"16000\",\n      \"home\": \"detroit\",\n      \"decision\": \"hasek\"\n    }\n  ]\n}", "idx": 31120}
{"context": "CREATE TABLE table_name_80 (tv_season VARCHAR, households__in_millions_ VARCHAR)", "sql_query": "select tv_season from table_name_80 where households__in_millions_ = '30.503 (34.9 rating)'", "question": "Which TV season has Households (in millions) of 30.503 (34.9 rating)?", "data_table": "{\n  \"table_name_80\": [\n    {\n      \"tv_season\": \"season 1\",\n      \"households__in_millions_\": \"30.503 (34.9 rating)\"\n    },\n    {\n      \"tv_season\": \"season 2\",\n      \"households__in_millions_\": \"25.678 (29.3 rating)\"\n    },\n    {\n      \"tv_season\": \"season 3\",\n      \"households__in_millions_\": \"28.901 (33.1 rating)\"\n    },\n    {\n      \"tv_season\": \"season 4\",\n      \"households__in_millions_\": \"32.456 (37.2 rating)\"\n    },\n    {\n      \"tv_season\": \"season 5\",\n      \"households__in_millions_\": \"27.809 (31.8 rating)\"\n    },\n    {\n      \"tv_season\": \"season 6\",\n      \"households__in_millions_\": \"29.345 (33.6 rating)\"\n    },\n    {\n      \"tv_season\": \"season 7\",\n      \"households__in_millions_\": \"31.987 (36.6 rating)\"\n    },\n    {\n      \"tv_season\": \"season 8\",\n      \"households__in_millions_\": \"26.712 (30.5 rating)\"\n    },\n    {\n      \"tv_season\": \"season 9\",\n      \"households__in_millions_\": \"33.201 (38.0 rating)\"\n    },\n    {\n      \"tv_season\": \"season 10\",\n      \"households__in_millions_\": \"24.876 (28.4 rating)\"\n    }\n  ]\n}", "idx": 31121}
{"context": "CREATE TABLE table_2508633_11 (college VARCHAR, nfl_team VARCHAR)", "sql_query": "select count(college) from table_2508633_11 where nfl_team = 'buffalo bills'", "question": "How many colleges have the NFL Team Buffalo Bills?", "data_table": "{\n  \"table_2508633_11\": [\n    {\n      \"college\": \"university of alabama\",\n      \"nfl_team\": \"buffalo bills\"\n    },\n    {\n      \"college\": \"ohio state university\",\n      \"nfl_team\": \"buffalo bills\"\n    },\n    {\n      \"college\": \"university of southern california\",\n      \"nfl_team\": \"san francisco 49ers\"\n    },\n    {\n      \"college\": \"clemson university\",\n      \"nfl_team\": \"kansas city chiefs\"\n    },\n    {\n      \"college\": \"university of texas\",\n      \"nfl_team\": \"dallas cowboys\"\n    },\n    {\n      \"college\": \"university of florida\",\n      \"nfl_team\": \"new england patriots\"\n    },\n    {\n      \"college\": \"university of michigan\",\n      \"nfl_team\": \"green bay packers\"\n    },\n    {\n      \"college\": \"university of georgia\",\n      \"nfl_team\": \"pittsburgh steelers\"\n    },\n    {\n      \"college\": \"university of oklahoma\",\n      \"nfl_team\": \"seattle seahawks\"\n    },\n    {\n      \"college\": \"university of notre dame\",\n      \"nfl_team\": \"chicago bears\"\n    }\n  ]\n}", "idx": 31122}
{"context": "CREATE TABLE table_22128871_1 (result VARCHAR, year__ceremony_ VARCHAR)", "sql_query": "select result from table_22128871_1 where year__ceremony_ = '2007 (80th)'", "question": "What is every result for the ceremony year of 2007 (80th)?", "data_table": "{\n  \"table_22128871_1\": [\n    {\n      \"result\": \"winner\",\n      \"year__ceremony_\": \"2007 (80th)\"\n    },\n    {\n      \"result\": \"nominee\",\n      \"year__ceremony_\": \"2007 (80th)\"\n    },\n    {\n      \"result\": \"nominee\",\n      \"year__ceremony_\": \"2008 (81st)\"\n    },\n    {\n      \"result\": \"winner\",\n      \"year__ceremony_\": \"2008 (81st)\"\n    },\n    {\n      \"result\": \"nominee\",\n      \"year__ceremony_\": \"2009 (82nd)\"\n    },\n    {\n      \"result\": \"winner\",\n      \"year__ceremony_\": \"2009 (82nd)\"\n    },\n    {\n      \"result\": \"nominee\",\n      \"year__ceremony_\": \"2010 (83rd)\"\n    },\n    {\n      \"result\": \"winner\",\n      \"year__ceremony_\": \"2010 (83rd)\"\n    },\n    {\n      \"result\": \"nominee\",\n      \"year__ceremony_\": \"2011 (84th)\"\n    },\n    {\n      \"result\": \"winner\",\n      \"year__ceremony_\": \"2011 (84th)\"\n    }\n  ]\n}", "idx": 31123}
{"context": "CREATE TABLE table_name_51 (year VARCHAR, venue VARCHAR)", "sql_query": "select year from table_name_51 where venue = 'landshut'", "question": "What year was the venue Landshut?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"year\": \"2015\",\n      \"venue\": \"landshut\"\n    },\n    {\n      \"year\": \"2016\",\n      \"venue\": \"landshut\"\n    },\n    {\n      \"year\": \"2017\",\n      \"venue\": \"munich\"\n    },\n    {\n      \"year\": \"2018\",\n      \"venue\": \"landshut\"\n    },\n    {\n      \"year\": \"2019\",\n      \"venue\": \"munich\"\n    },\n    {\n      \"year\": \"2020\",\n      \"venue\": \"landshut\"\n    },\n    {\n      \"year\": \"2021\",\n      \"venue\": \"munich\"\n    },\n    {\n      \"year\": \"2022\",\n      \"venue\": \"landshut\"\n    },\n    {\n      \"year\": \"2023\",\n      \"venue\": \"munich\"\n    },\n    {\n      \"year\": \"2024\",\n      \"venue\": \"landshut\"\n    }\n  ]\n}", "idx": 31124}
{"context": "CREATE TABLE table_name_47 (tournament VARCHAR, runner_s__up VARCHAR)", "sql_query": "select tournament from table_name_47 where runner_s__up = 'gary mccord'", "question": "Which tournament has a Runner(s)-up of Gary McCord?", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"tournament\": \"us open\",\n      \"runner_s__up\": \"tom watson\"\n    },\n    {\n      \"tournament\": \"masters\",\n      \"runner_s__up\": \"gary mccord\"\n    },\n    {\n      \"tournament\": \"pga championship\",\n      \"runner_s__up\": \"nick faldo\"\n    },\n    {\n      \"tournament\": \"the open championship\",\n      \"runner_s__up\": \"greg norman\"\n    },\n    {\n      \"tournament\": \"ryder cup\",\n      \"runner_s__up\": \"bernhard langer\"\n    },\n    {\n      \"tournament\": \"players championship\",\n      \"runner_s__up\": \"fred couples\"\n    },\n    {\n      \"tournament\": \"fedex cup\",\n      \"runner_s__up\": \"jim furyk\"\n    },\n    {\n      \"tournament\": \"world golf championships\",\n      \"runner_s__up\": \"sergio garcia\"\n    },\n    {\n      \"tournament\": \"arnold palmer invitational\",\n      \"runner_s__up\": \"tiger woods\"\n    },\n    {\n      \"tournament\": \"memorial tournament\",\n      \"runner_s__up\": \"justin rose\"\n    }\n  ]\n}", "idx": 31125}
{"context": "CREATE TABLE table_name_54 (winner_and_score VARCHAR, week VARCHAR)", "sql_query": "select winner_and_score from table_name_54 where week = 'april 22'", "question": "Who is the winner and score during the week of April 22?", "data_table": "{\n  \"table_name_54\": [\n    {\n      \"winner_and_score\": \"team a - 10, team b - 8\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team c - 12, team d - 6\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team b - 9, team d - 7\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team a - 11, team c - 5\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team d - 10, team a - 8\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team b - 12, team c - 6\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team c - 9, team a - 7\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team d - 11, team b - 5\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team a - 10, team b - 8\",\n      \"week\": \"april 22\"\n    },\n    {\n      \"winner_and_score\": \"team c - 12, team d - 6\",\n      \"week\": \"april 22\"\n    }\n  ]\n}", "idx": 31126}
{"context": "CREATE TABLE table_18373863_2 (mlb_team VARCHAR, fcsl_team VARCHAR)", "sql_query": "select count(mlb_team) from table_18373863_2 where fcsl_team = 'winter pines'", "question": "When winter pines is the fcsl team how many mlb teams are there?", "data_table": "{\n  \"table_18373863_2\": [\n    {\n      \"mlb_team\": \"new york yankees\",\n      \"fcsl_team\": \"winter pines\"\n    },\n    {\n      \"mlb_team\": \"boston red sox\",\n      \"fcsl_team\": \"winter pines\"\n    },\n    {\n      \"mlb_team\": \"los angeles dodgers\",\n      \"fcsl_team\": \"summer oaks\"\n    },\n    {\n      \"mlb_team\": \"chicago cubs\",\n      \"fcsl_team\": \"spring meadows\"\n    },\n    {\n      \"mlb_team\": \"houston astros\",\n      \"fcsl_team\": \"winter pines\"\n    },\n    {\n      \"mlb_team\": \"san francisco giants\",\n      \"fcsl_team\": \"summer oaks\"\n    },\n    {\n      \"mlb_team\": \"st. louis cardinals\",\n      \"fcsl_team\": \"spring meadows\"\n    },\n    {\n      \"mlb_team\": \"atlanta braves\",\n      \"fcsl_team\": \"winter pines\"\n    },\n    {\n      \"mlb_team\": \"oakland athletics\",\n      \"fcsl_team\": \"summer oaks\"\n    },\n    {\n      \"mlb_team\": \"cleveland indians\",\n      \"fcsl_team\": \"spring meadows\"\n    }\n  ]\n}", "idx": 31128}
{"context": "CREATE TABLE table_13183076_3 (original_air_date VARCHAR, directed_by VARCHAR)", "sql_query": "select original_air_date from table_13183076_3 where directed_by = 'tricia brock'", "question": "What is the Original air date for the episode directed by Tricia Brock?", "data_table": "{\n  \"table_13183076_3\": [\n    {\n      \"original_air_date\": \"2021-01-01\",\n      \"directed_by\": \"tricia brock\"\n    },\n    {\n      \"original_air_date\": \"2020-05-15\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"original_air_date\": \"2019-09-30\",\n      \"directed_by\": \"tricia brock\"\n    },\n    {\n      \"original_air_date\": \"2020-11-20\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"original_air_date\": \"2021-03-10\",\n      \"directed_by\": \"tricia brock\"\n    },\n    {\n      \"original_air_date\": \"2020-07-05\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"original_air_date\": \"2019-12-25\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"original_air_date\": \"2021-02-14\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"original_air_date\": \"2020-09-18\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"original_air_date\": \"2021-04-30\",\n      \"directed_by\": \"john smith\"\n    }\n  ]\n}", "idx": 31129}
{"context": "CREATE TABLE table_name_35 (week_12 VARCHAR, week_4 VARCHAR)", "sql_query": "select week_12 from table_name_35 where week_4 = 'gerard ewelina'", "question": "Who is the week 12 for the week 4 of Gerard Ewelina?", "data_table": "{\n  \"table_name_35\": [\n    {\n      \"week_12\": \"value1\",\n      \"week_4\": \"gerard ewelina\"\n    },\n    {\n      \"week_12\": \"value2\",\n      \"week_4\": \"john doe\"\n    },\n    {\n      \"week_12\": \"value3\",\n      \"week_4\": \"jane smith\"\n    },\n    {\n      \"week_12\": \"value4\",\n      \"week_4\": \"gerard ewelina\"\n    },\n    {\n      \"week_12\": \"value5\",\n      \"week_4\": \"john doe\"\n    },\n    {\n      \"week_12\": \"value6\",\n      \"week_4\": \"jane smith\"\n    },\n    {\n      \"week_12\": \"value7\",\n      \"week_4\": \"gerard ewelina\"\n    },\n    {\n      \"week_12\": \"value8\",\n      \"week_4\": \"john doe\"\n    },\n    {\n      \"week_12\": \"value9\",\n      \"week_4\": \"jane smith\"\n    },\n    {\n      \"week_12\": \"value10\",\n      \"week_4\": \"gerard ewelina\"\n    }\n  ]\n}", "idx": 31130}
{"context": "CREATE TABLE table_13564637_3 (try_bonus VARCHAR, won VARCHAR)", "sql_query": "select count(try_bonus) from table_13564637_3 where won = '11'", "question": "what amount of try bonus where the game was won by 11?", "data_table": "{\n  \"table_13564637_3\": [\n    {\n      \"try_bonus\": \"bonus1\",\n      \"won\": \"11\"\n    },\n    {\n      \"try_bonus\": \"bonus2\",\n      \"won\": \"11\"\n    },\n    {\n      \"try_bonus\": \"bonus3\",\n      \"won\": \"12\"\n    },\n    {\n      \"try_bonus\": \"bonus4\",\n      \"won\": \"12\"\n    },\n    {\n      \"try_bonus\": \"bonus5\",\n      \"won\": \"13\"\n    },\n    {\n      \"try_bonus\": \"bonus6\",\n      \"won\": \"13\"\n    },\n    {\n      \"try_bonus\": \"bonus7\",\n      \"won\": \"14\"\n    },\n    {\n      \"try_bonus\": \"bonus8\",\n      \"won\": \"14\"\n    },\n    {\n      \"try_bonus\": \"bonus9\",\n      \"won\": \"15\"\n    },\n    {\n      \"try_bonus\": \"bonus10\",\n      \"won\": \"15\"\n    }\n  ]\n}", "idx": 31131}
{"context": "CREATE TABLE table_name_23 (date VARCHAR, set_1 VARCHAR)", "sql_query": "select date from table_name_23 where set_1 = '25-18'", "question": "What day was there a set 1 of 25-18?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"set_1\": \"25-18\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"set_1\": \"25-18\"\n    }\n  ]\n}", "idx": 31132}
{"context": "CREATE TABLE table_name_98 (date VARCHAR, opponent VARCHAR, surface VARCHAR)", "sql_query": "select date from table_name_98 where opponent = 'chris evert' and surface = 'carpet'", "question": "Name the date for chris evert opponent and carpet surface", "data_table": "{\n  \"table_name_98\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"opponent\": \"chris evert\",\n      \"surface\": \"carpet\"\n    },\n    {\n      \"date\": \"2022-02-15\",\n      \"opponent\": \"serena williams\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"date\": \"2022-03-10\",\n      \"opponent\": \"martina navratilova\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"date\": \"2022-04-05\",\n      \"opponent\": \"stefanie graf\",\n      \"surface\": \"hard\"\n    },\n    {\n      \"date\": \"2022-05-20\",\n      \"opponent\": \"monica seles\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"date\": \"2022-06-12\",\n      \"opponent\": \"martina hingis\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"date\": \"2022-07-18\",\n      \"opponent\": \"venus williams\",\n      \"surface\": \"hard\"\n    },\n    {\n      \"date\": \"2022-08-30\",\n      \"opponent\": \"kim clijsters\",\n      \"surface\": \"carpet\"\n    },\n    {\n      \"date\": \"2022-09-22\",\n      \"opponent\": \"justine henin\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"date\": \"2022-10-10\",\n      \"opponent\": \"maria sharapova\",\n      \"surface\": \"clay\"\n    }\n  ]\n}", "idx": 31133}
{"context": "CREATE TABLE player (Occupation VARCHAR)", "sql_query": "select occupation from player group by occupation order by count(*) desc limit 1", "question": "Please show the most common occupation of players.", "data_table": "{\n  \"player\": [\n    {\n      \"occupation\": \"doctor\"\n    },\n    {\n      \"occupation\": \"engineer\"\n    },\n    {\n      \"occupation\": \"teacher\"\n    },\n    {\n      \"occupation\": \"lawyer\"\n    },\n    {\n      \"occupation\": \"nurse\"\n    },\n    {\n      \"occupation\": \"artist\"\n    },\n    {\n      \"occupation\": \"chef\"\n    },\n    {\n      \"occupation\": \"pilot\"\n    },\n    {\n      \"occupation\": \"writer\"\n    },\n    {\n      \"occupation\": \"musician\"\n    }\n  ]\n}", "idx": 31135}
{"context": "CREATE TABLE table_2182562_2 (team_s_ VARCHAR, avg_start VARCHAR)", "sql_query": "select count(team_s_) from table_2182562_2 where avg_start = '12.9'", "question": "How many different teams had an average start of 12.9?", "data_table": "{\n  \"table_2182562_2\": [\n    {\n      \"team_s_\": \"team a\",\n      \"avg_start\": \"12.9\"\n    },\n    {\n      \"team_s_\": \"team b\",\n      \"avg_start\": \"10.5\"\n    },\n    {\n      \"team_s_\": \"team c\",\n      \"avg_start\": \"11.8\"\n    },\n    {\n      \"team_s_\": \"team d\",\n      \"avg_start\": \"12.9\"\n    },\n    {\n      \"team_s_\": \"team e\",\n      \"avg_start\": \"9.7\"\n    },\n    {\n      \"team_s_\": \"team f\",\n      \"avg_start\": \"12.9\"\n    },\n    {\n      \"team_s_\": \"team g\",\n      \"avg_start\": \"10.5\"\n    },\n    {\n      \"team_s_\": \"team h\",\n      \"avg_start\": \"11.8\"\n    },\n    {\n      \"team_s_\": \"team i\",\n      \"avg_start\": \"9.7\"\n    },\n    {\n      \"team_s_\": \"team j\",\n      \"avg_start\": \"10.5\"\n    }\n  ]\n}", "idx": 31136}
{"context": "CREATE TABLE party (Id VARCHAR)", "sql_query": "select count(*) from party", "question": "How many parties are there?", "data_table": "{\n  \"party\": [\n    {\n      \"id\": \"abc123\"\n    },\n    {\n      \"id\": \"def456\"\n    },\n    {\n      \"id\": \"ghi789\"\n    },\n    {\n      \"id\": \"jkl012\"\n    },\n    {\n      \"id\": \"mno345\"\n    },\n    {\n      \"id\": \"pqr678\"\n    },\n    {\n      \"id\": \"stu901\"\n    },\n    {\n      \"id\": \"vwx234\"\n    },\n    {\n      \"id\": \"yz567\"\n    },\n    {\n      \"id\": \"123abc\"\n    }\n  ]\n}", "idx": 31137}
{"context": "CREATE TABLE table_12407546_1 (_number INTEGER, riding VARCHAR)", "sql_query": "select max(_number) from table_12407546_1 where riding = '68.46 (1144 pts)'", "question": "What's the number of the player with 68.46 (1144 pts) in riding?", "data_table": "{\n  \"table_12407546_1\": [\n    {\n      \"_number\": 1,\n      \"riding\": \"68.46 (1144 pts)\"\n    },\n    {\n      \"_number\": 2,\n      \"riding\": \"72.35 (987 pts)\"\n    },\n    {\n      \"_number\": 3,\n      \"riding\": \"65.21 (876 pts)\"\n    },\n    {\n      \"_number\": 4,\n      \"riding\": \"70.12 (765 pts)\"\n    },\n    {\n      \"_number\": 5,\n      \"riding\": \"69.87 (654 pts)\"\n    },\n    {\n      \"_number\": 6,\n      \"riding\": \"67.54 (543 pts)\"\n    },\n    {\n      \"_number\": 7,\n      \"riding\": \"71.23 (432 pts)\"\n    },\n    {\n      \"_number\": 8,\n      \"riding\": \"66.78 (321 pts)\"\n    },\n    {\n      \"_number\": 9,\n      \"riding\": \"73.56 (210 pts)\"\n    },\n    {\n      \"_number\": 10,\n      \"riding\": \"64.32 (109 pts)\"\n    }\n  ]\n}", "idx": 31138}
{"context": "CREATE TABLE Aircraft (aid VARCHAR, name VARCHAR, distance VARCHAR)", "sql_query": "select aid, name from aircraft order by distance desc limit 1", "question": "Show the id and name of the aircraft with the maximum distance.", "data_table": "{\n  \"aircraft\": [\n    {\n      \"aid\": \"a001\",\n      \"name\": \"boeing 747\",\n      \"distance\": \"1000\"\n    },\n    {\n      \"aid\": \"a002\",\n      \"name\": \"airbus a380\",\n      \"distance\": \"1500\"\n    },\n    {\n      \"aid\": \"a003\",\n      \"name\": \"cessna 172\",\n      \"distance\": \"500\"\n    },\n    {\n      \"aid\": \"a004\",\n      \"name\": \"embraer e190\",\n      \"distance\": \"1200\"\n    },\n    {\n      \"aid\": \"a005\",\n      \"name\": \"bombardier challenger 300\",\n      \"distance\": \"800\"\n    },\n    {\n      \"aid\": \"a006\",\n      \"name\": \"gulfstream g650\",\n      \"distance\": \"2000\"\n    },\n    {\n      \"aid\": \"a007\",\n      \"name\": \"boeing 737\",\n      \"distance\": \"900\"\n    },\n    {\n      \"aid\": \"a008\",\n      \"name\": \"airbus a320\",\n      \"distance\": \"1100\"\n    },\n    {\n      \"aid\": \"a009\",\n      \"name\": \"piper pa-28\",\n      \"distance\": \"400\"\n    },\n    {\n      \"aid\": \"a010\",\n      \"name\": \"cessna citation x\",\n      \"distance\": \"1800\"\n    }\n  ]\n}", "idx": 31139}
{"context": "CREATE TABLE table_name_79 (to_par VARCHAR, country VARCHAR)", "sql_query": "select to_par from table_name_79 where country = 'new zealand'", "question": "What is the To par of the New Zealand Player?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"to_par\": \"2\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"0\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"-1\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"4\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"3\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"1\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"-2\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"5\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"-3\",\n      \"country\": \"new zealand\"\n    },\n    {\n      \"to_par\": \"6\",\n      \"country\": \"new zealand\"\n    }\n  ]\n}", "idx": 31140}
{"context": "CREATE TABLE table_name_3 (rank INTEGER, opposition VARCHAR)", "sql_query": "select max(rank) from table_name_3 where opposition = 'westmeath'", "question": "What is the highest ranked player who opposed Westmeath?", "data_table": "{\n  \"table_name_1\": [\n    {\n      \"id\": 1,\n      \"name\": \"john\",\n      \"age\": 25,\n      \"city\": \"new york\"\n    },\n    {\n      \"id\": 2,\n      \"name\": \"emily\",\n      \"age\": 30,\n      \"city\": \"los angeles\"\n    },\n    {\n      \"id\": 3,\n      \"name\": \"michael\",\n      \"age\": 28,\n      \"city\": \"chicago\"\n    },\n    {\n      \"id\": 4,\n      \"name\": \"sophia\",\n      \"age\": 22,\n      \"city\": \"san francisco\"\n    },\n    {\n      \"id\": 5,\n      \"name\": \"daniel\",\n      \"age\": 35,\n      \"city\": \"seattle\"\n    }\n  ],\n  \"table_name_2\": [\n    {\n      \"product_id\": 101,\n      \"product_name\": \"iphone\",\n      \"price\": 999.99,\n      \"category\": \"electronics\"\n    },\n    {\n      \"product_id\": 102,\n      \"product_name\": \"samsung tv\",\n      \"price\": 799.99,\n      \"category\": \"electronics\"\n    },\n    {\n      \"product_id\": 103,\n      \"product_name\": \"nike shoes\",\n      \"price\": 99.99,\n      \"category\": \"fashion\"\n    },\n    {\n      \"product_id\": 104,\n      \"product_name\": \"sony headphones\",\n      \"price\": 149.99,\n      \"category\": \"electronics\"\n    },\n    {\n      \"product_id\": 105,\n      \"product_name\": \"adidas t-shirt\",\n      \"price\": 29.99,\n      \"category\": \"fashion\"\n    }\n  ],\n  \"table_name_3\": [\n    {\n      \"rank\": 1,\n      \"opposition\": \"westmeath\"\n    },\n    {\n      \"rank\": 2,\n      \"opposition\": \"kildare\"\n    },\n    {\n      \"rank\": 3,\n      \"opposition\": \"dublin\"\n    },\n    {\n      \"rank\": 4,\n      \"opposition\": \"galway\"\n    },\n    {\n      \"rank\": 5,\n      \"opposition\": \"cork\"\n    },\n    {\n      \"rank\": 6,\n      \"opposition\": \"kerry\"\n    },\n    {\n      \"rank\": 7,\n      \"opposition\": \"mayo\"\n    },\n    {\n      \"rank\": 8,\n      \"opposition\": \"tyrone\"\n    },\n    {\n      \"rank\": 9,\n      \"opposition\": \"donegal\"\n    },\n    {\n      \"rank\": 10,\n      \"opposition\": \"armagh\"\n    }\n  ]\n}", "idx": 31141}
{"context": "CREATE TABLE table_name_78 (date VARCHAR, score VARCHAR)", "sql_query": "select date from table_name_78 where score = 'w 105-88'", "question": "What is the date of the game with a w 105-88 score?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"score\": \"w 105-88\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"score\": \"l 92-99\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"score\": \"w 110-95\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"score\": \"w 98-85\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"score\": \"l 100-105\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"score\": \"w 102-97\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"score\": \"l 89-93\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"score\": \"w 97-90\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"score\": \"l 88-92\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"score\": \"w 105-88\"\n    }\n  ]\n}", "idx": 31142}
{"context": "CREATE TABLE table_14603057_2 (class_aAAAA VARCHAR, school_year VARCHAR)", "sql_query": "select class_aaaaa from table_14603057_2 where school_year = '2008-09'", "question": "Who was the class AAAAA in 2008-09?", "data_table": "{\n  \"table_14603057_2\": [\n    {\n      \"class_aaaaa\": \"math\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"english\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"science\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"history\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"art\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"music\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"physical education\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"computer science\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"spanish\",\n      \"school_year\": \"2008-09\"\n    },\n    {\n      \"class_aaaaa\": \"french\",\n      \"school_year\": \"2008-09\"\n    }\n  ]\n}", "idx": 31143}
{"context": "CREATE TABLE table_name_92 (date VARCHAR, opposing_team VARCHAR)", "sql_query": "select date from table_name_92 where opposing_team = 'united states'", "question": "What day was United States the opposing team?", "data_table": "{\n  \"table_name_92\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"opposing_team\": \"united states\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"opposing_team\": \"canada\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"opposing_team\": \"mexico\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"opposing_team\": \"united states\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"opposing_team\": \"brazil\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"opposing_team\": \"germany\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"opposing_team\": \"united states\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"opposing_team\": \"france\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"opposing_team\": \"united states\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"opposing_team\": \"england\"\n    }\n  ]\n}", "idx": 31145}
{"context": "CREATE TABLE dorm (student_capacity INTEGER, gender VARCHAR)", "sql_query": "select avg(student_capacity), sum(student_capacity) from dorm where gender = 'x'", "question": "Find the average and total capacity of dorms for the students with gender X.", "data_table": "{\n  \"dorm\": [\n    {\n      \"student_capacity\": 50,\n      \"gender\": \"male\"\n    },\n    {\n      \"student_capacity\": 60,\n      \"gender\": \"female\"\n    },\n    {\n      \"student_capacity\": 70,\n      \"gender\": \"male\"\n    },\n    {\n      \"student_capacity\": 55,\n      \"gender\": \"female\"\n    },\n    {\n      \"student_capacity\": 45,\n      \"gender\": \"male\"\n    },\n    {\n      \"student_capacity\": 65,\n      \"gender\": \"female\"\n    },\n    {\n      \"student_capacity\": 75,\n      \"gender\": \"male\"\n    },\n    {\n      \"student_capacity\": 80,\n      \"gender\": \"female\"\n    },\n    {\n      \"student_capacity\": 90,\n      \"gender\": \"male\"\n    },\n    {\n      \"student_capacity\": 85,\n      \"gender\": \"female\"\n    }\n  ]\n}", "idx": 31147}
{"context": "CREATE TABLE has_amenity (dormid VARCHAR, amenid VARCHAR); CREATE TABLE dorm_amenity (amenity_name VARCHAR, amenid VARCHAR); CREATE TABLE dorm (dormid VARCHAR, dorm_name VARCHAR)", "sql_query": "select t3.amenity_name from dorm as t1 join has_amenity as t2 on t1.dormid = t2.dormid join dorm_amenity as t3 on t2.amenid = t3.amenid where t1.dorm_name = 'smith hall' order by t3.amenity_name", "question": "Find the name of amenities Smith Hall dorm have. ordered the results by amenity names.", "data_table": "{\n  \"has_amenity\": [\n    {\n      \"dormid\": \"1\",\n      \"amenid\": \"101\"\n    },\n    {\n      \"dormid\": \"1\",\n      \"amenid\": \"102\"\n    },\n    {\n      \"dormid\": \"2\",\n      \"amenid\": \"103\"\n    },\n    {\n      \"dormid\": \"2\",\n      \"amenid\": \"104\"\n    },\n    {\n      \"dormid\": \"3\",\n      \"amenid\": \"105\"\n    },\n    {\n      \"dormid\": \"3\",\n      \"amenid\": \"106\"\n    },\n    {\n      \"dormid\": \"4\",\n      \"amenid\": \"107\"\n    },\n    {\n      \"dormid\": \"4\",\n      \"amenid\": \"108\"\n    },\n    {\n      \"dormid\": \"5\",\n      \"amenid\": \"109\"\n    },\n    {\n      \"dormid\": \"5\",\n      \"amenid\": \"110\"\n    }\n  ],\n  \"dorm_amenity\": [\n    {\n      \"amenity_name\": \"gym\",\n      \"amenid\": \"101\"\n    },\n    {\n      \"amenity_name\": \"pool\",\n      \"amenid\": \"102\"\n    },\n    {\n      \"amenity_name\": \"library\",\n      \"amenid\": \"103\"\n    },\n    {\n      \"amenity_name\": \"cafeteria\",\n      \"amenid\": \"104\"\n    },\n    {\n      \"amenity_name\": \"laundry\",\n      \"amenid\": \"105\"\n    },\n    {\n      \"amenity_name\": \"parking\",\n      \"amenid\": \"106\"\n    },\n    {\n      \"amenity_name\": \"study room\",\n      \"amenid\": \"107\"\n    },\n    {\n      \"amenity_name\": \"game room\",\n      \"amenid\": \"108\"\n    },\n    {\n      \"amenity_name\": \"tennis court\",\n      \"amenid\": \"109\"\n    },\n    {\n      \"amenity_name\": \"movie theater\",\n      \"amenid\": \"110\"\n    }\n  ],\n  \"dorm\": [\n    {\n      \"dormid\": \"1\",\n      \"dorm_name\": \"smith hall\"\n    },\n    {\n      \"dormid\": \"2\",\n      \"dorm_name\": \"johnson hall\"\n    },\n    {\n      \"dormid\": \"3\",\n      \"dorm_name\": \"wilson hall\"\n    },\n    {\n      \"dormid\": \"4\",\n      \"dorm_name\": \"brown hall\"\n    },\n    {\n      \"dormid\": \"5\",\n      \"dorm_name\": \"jones hall\"\n    }\n  ]\n}", "idx": 31149}
{"context": "CREATE TABLE table_1140117_5 (constructor VARCHAR, circuit VARCHAR)", "sql_query": "select constructor from table_1140117_5 where circuit = 'silverstone'", "question": "What is the constructor for the Silverstone circuit?", "data_table": "{\n  \"table_1140117_5\": [\n    {\n      \"constructor\": \"mercedes\",\n      \"circuit\": \"silverstone\"\n    },\n    {\n      \"constructor\": \"ferrari\",\n      \"circuit\": \"monaco\"\n    },\n    {\n      \"constructor\": \"red bull racing\",\n      \"circuit\": \"silverstone\"\n    },\n    {\n      \"constructor\": \"mclaren\",\n      \"circuit\": \"monza\"\n    },\n    {\n      \"constructor\": \"renault\",\n      \"circuit\": \"silverstone\"\n    },\n    {\n      \"constructor\": \"alphatauri\",\n      \"circuit\": \"monza\"\n    },\n    {\n      \"constructor\": \"racing point\",\n      \"circuit\": \"silverstone\"\n    },\n    {\n      \"constructor\": \"alfa romeo\",\n      \"circuit\": \"monaco\"\n    },\n    {\n      \"constructor\": \"haas\",\n      \"circuit\": \"silverstone\"\n    },\n    {\n      \"constructor\": \"williams\",\n      \"circuit\": \"monza\"\n    }\n  ]\n}", "idx": 31151}
{"context": "CREATE TABLE table_250309_1 (models_produced VARCHAR, plant VARCHAR)", "sql_query": "select count(models_produced) from table_250309_1 where plant = 'castle bromwich'", "question": "how many models produced where the plant is castle bromwich?", "data_table": "{\n  \"table_250309_1\": [\n    {\n      \"models_produced\": \"a1\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"a2\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"b1\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"b2\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"c1\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"c2\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"d1\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"d2\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"e1\",\n      \"plant\": \"castle bromwich\"\n    },\n    {\n      \"models_produced\": \"e2\",\n      \"plant\": \"castle bromwich\"\n    }\n  ]\n}", "idx": 31152}
{"context": "CREATE TABLE table_11381701_3 (source VARCHAR, blackberry VARCHAR)", "sql_query": "select source from table_11381701_3 where blackberry = '2.9%'", "question": "Which source shows Blackberry at 2.9%?", "data_table": "{\n  \"table_11381701_3\": [\n    {\n      \"source\": \"website\",\n      \"blackberry\": \"2.9%\"\n    },\n    {\n      \"source\": \"app\",\n      \"blackberry\": \"3.5%\"\n    },\n    {\n      \"source\": \"social media\",\n      \"blackberry\": \"1.8%\"\n    },\n    {\n      \"source\": \"email\",\n      \"blackberry\": \"2.2%\"\n    },\n    {\n      \"source\": \"direct mail\",\n      \"blackberry\": \"2.9%\"\n    },\n    {\n      \"source\": \"television\",\n      \"blackberry\": \"1.5%\"\n    },\n    {\n      \"source\": \"radio\",\n      \"blackberry\": \"2.9%\"\n    },\n    {\n      \"source\": \"print ads\",\n      \"blackberry\": \"2.9%\"\n    },\n    {\n      \"source\": \"billboards\",\n      \"blackberry\": \"2.9%\"\n    },\n    {\n      \"source\": \"word of mouth\",\n      \"blackberry\": \"2.9%\"\n    }\n  ]\n}", "idx": 31153}
{"context": "CREATE TABLE table_27733258_2 (high_rebounds VARCHAR, date VARCHAR)", "sql_query": "select high_rebounds from table_27733258_2 where date = 'october 14'", "question": "What two players had the highest rebounds for the October 14 game?", "data_table": "{\n  \"table_27733258_2\": [\n    {\n      \"high_rebounds\": \"10\",\n      \"date\": \"october 14\"\n    },\n    {\n      \"high_rebounds\": \"8\",\n      \"date\": \"october 14\"\n    },\n    {\n      \"high_rebounds\": \"12\",\n      \"date\": \"october 15\"\n    },\n    {\n      \"high_rebounds\": \"6\",\n      \"date\": \"october 15\"\n    },\n    {\n      \"high_rebounds\": \"9\",\n      \"date\": \"october 16\"\n    },\n    {\n      \"high_rebounds\": \"7\",\n      \"date\": \"october 16\"\n    },\n    {\n      \"high_rebounds\": \"11\",\n      \"date\": \"october 17\"\n    },\n    {\n      \"high_rebounds\": \"5\",\n      \"date\": \"october 17\"\n    },\n    {\n      \"high_rebounds\": \"13\",\n      \"date\": \"october 18\"\n    },\n    {\n      \"high_rebounds\": \"4\",\n      \"date\": \"october 18\"\n    }\n  ]\n}", "idx": 31154}
{"context": "CREATE TABLE table_name_36 (first_elected INTEGER, party VARCHAR)", "sql_query": "select max(first_elected) from table_name_36 where party = 'republican'", "question": "What is the most recent year for a first elected republican?", "data_table": "{\n  \"table_name_36\": [\n    {\n      \"first_elected\": 2010,\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": 2008,\n      \"party\": \"democrat\"\n    },\n    {\n      \"first_elected\": 2014,\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": 2006,\n      \"party\": \"democrat\"\n    },\n    {\n      \"first_elected\": 2018,\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": 2012,\n      \"party\": \"democrat\"\n    },\n    {\n      \"first_elected\": 2004,\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": 2002,\n      \"party\": \"democrat\"\n    },\n    {\n      \"first_elected\": 2016,\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": 2000,\n      \"party\": \"democrat\"\n    }\n  ]\n}", "idx": 31156}
{"context": "CREATE TABLE table_15621965_3 (years_in_orlando VARCHAR, player VARCHAR)", "sql_query": "select years_in_orlando from table_15621965_3 where player = 'chris corchiani'", "question": "During what years did Chris Corchiani play in Orlando?", "data_table": "{\n  \"table_15621965_3\": [\n    {\n      \"years_in_orlando\": \"2\",\n      \"player\": \"chris corchiani\"\n    },\n    {\n      \"years_in_orlando\": \"4\",\n      \"player\": \"nick anderson\"\n    },\n    {\n      \"years_in_orlando\": \"1\",\n      \"player\": \"penny hardaway\"\n    },\n    {\n      \"years_in_orlando\": \"3\",\n      \"player\": \"shaquille o'neal\"\n    },\n    {\n      \"years_in_orlando\": \"5\",\n      \"player\": \"dennis scott\"\n    },\n    {\n      \"years_in_orlando\": \"2\",\n      \"player\": \"horace grant\"\n    },\n    {\n      \"years_in_orlando\": \"6\",\n      \"player\": \"tracy mcgrady\"\n    },\n    {\n      \"years_in_orlando\": \"1\",\n      \"player\": \"grant hill\"\n    },\n    {\n      \"years_in_orlando\": \"4\",\n      \"player\": \"dwight howard\"\n    },\n    {\n      \"years_in_orlando\": \"3\",\n      \"player\": \"victor oladipo\"\n    }\n  ]\n}", "idx": 31157}
{"context": "CREATE TABLE table_name_13 (surface VARCHAR, score VARCHAR)", "sql_query": "select surface from table_name_13 where score = '2009 wta tour'", "question": "Which Surface has a Score of 2009 wta tour?", "data_table": "{\n  \"table_name_13\": [\n    {\n      \"surface\": \"grass\",\n      \"score\": \"2009 wta tour\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"2010 wta tour\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"2009 wta tour\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"2011 wta tour\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"2012 wta tour\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"2010 wta tour\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"2013 wta tour\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"2014 wta tour\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"2011 wta tour\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"2015 wta tour\"\n    }\n  ]\n}", "idx": 31158}
{"context": "CREATE TABLE table_name_5 (laps INTEGER, driver VARCHAR)", "sql_query": "select avg(laps) from table_name_5 where driver = 'bob wollek'", "question": "How many Laps did Bob Wollek have?", "data_table": "{\n  \"table_name_5\": [\n    {\n      \"laps\": 25,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 30,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 20,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 15,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 35,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 40,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 10,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 5,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 50,\n      \"driver\": \"bob wollek\"\n    },\n    {\n      \"laps\": 45,\n      \"driver\": \"bob wollek\"\n    }\n  ]\n}", "idx": 31161}
{"context": "CREATE TABLE table_name_28 (school VARCHAR, player VARCHAR)", "sql_query": "select school from table_name_28 where player = 'mike rosario'", "question": "What school has the player of mike rosario?", "data_table": "{\n  \"table_name_28\": [\n    {\n      \"school\": \"university of florida\",\n      \"player\": \"mike rosario\"\n    },\n    {\n      \"school\": \"university of kentucky\",\n      \"player\": \"john wall\"\n    },\n    {\n      \"school\": \"duke university\",\n      \"player\": \"grayson allen\"\n    },\n    {\n      \"school\": \"university of north carolina\",\n      \"player\": \"tyler hansbrough\"\n    },\n    {\n      \"school\": \"university of kansas\",\n      \"player\": \"andrew wiggins\"\n    },\n    {\n      \"school\": \"university of connecticut\",\n      \"player\": \"kemba walker\"\n    },\n    {\n      \"school\": \"syracuse university\",\n      \"player\": \"carmelo anthony\"\n    },\n    {\n      \"school\": \"university of arizona\",\n      \"player\": \"deandre ayton\"\n    },\n    {\n      \"school\": \"michigan state university\",\n      \"player\": \"magic johnson\"\n    },\n    {\n      \"school\": \"university of louisville\",\n      \"player\": \"peyton siva\"\n    }\n  ]\n}", "idx": 31162}
{"context": "CREATE TABLE table_name_99 (package_option VARCHAR, television_service VARCHAR)", "sql_query": "select package_option from table_name_99 where television_service = 'sky wwe 24/7'", "question": "Which package/option has sky wwe 24/7 television service?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"package_option\": \"basic\",\n      \"television_service\": \"sky wwe 24/7\"\n    },\n    {\n      \"package_option\": \"premium\",\n      \"television_service\": \"sky wwe 24/7\"\n    },\n    {\n      \"package_option\": \"basic\",\n      \"television_service\": \"hbo\"\n    },\n    {\n      \"package_option\": \"premium\",\n      \"television_service\": \"hbo\"\n    },\n    {\n      \"package_option\": \"basic\",\n      \"television_service\": \"netflix\"\n    },\n    {\n      \"package_option\": \"premium\",\n      \"television_service\": \"netflix\"\n    },\n    {\n      \"package_option\": \"basic\",\n      \"television_service\": \"amazon prime\"\n    },\n    {\n      \"package_option\": \"premium\",\n      \"television_service\": \"amazon prime\"\n    },\n    {\n      \"package_option\": \"basic\",\n      \"television_service\": \"disney+\"\n    },\n    {\n      \"package_option\": \"premium\",\n      \"television_service\": \"disney+\"\n    }\n  ]\n}", "idx": 31163}
{"context": "CREATE TABLE table_name_1 (coach VARCHAR, captain VARCHAR)", "sql_query": "select coach from table_name_1 where captain = 'robert harvey'", "question": "Which coach works with Robert Harvey?", "data_table": "{\n  \"table_name_1\": [\n    {\n      \"coach\": \"john smith\",\n      \"captain\": \"robert harvey\"\n    },\n    {\n      \"coach\": \"michael johnson\",\n      \"captain\": \"david jones\"\n    },\n    {\n      \"coach\": \"sarah thompson\",\n      \"captain\": \"emily davis\"\n    },\n    {\n      \"coach\": \"mark wilson\",\n      \"captain\": \"daniel brown\"\n    },\n    {\n      \"coach\": \"laura miller\",\n      \"captain\": \"sophia taylor\"\n    },\n    {\n      \"coach\": \"james anderson\",\n      \"captain\": \"oliver wilson\"\n    },\n    {\n      \"coach\": \"emma roberts\",\n      \"captain\": \"liam johnson\"\n    },\n    {\n      \"coach\": \"andrew davis\",\n      \"captain\": \"ella thompson\"\n    },\n    {\n      \"coach\": \"jessica wilson\",\n      \"captain\": \"noah davis\"\n    },\n    {\n      \"coach\": \"matthew taylor\",\n      \"captain\": \"ava roberts\"\n    }\n  ]\n}", "idx": 31164}
{"context": "CREATE TABLE table_name_17 (launched VARCHAR, spacecraft VARCHAR)", "sql_query": "select launched from table_name_17 where spacecraft = 'mariner 4'", "question": "What launched has mariner 4 as the spacecraft?", "data_table": "{\n  \"table_name_17\": [\n    {\n      \"launched\": \"1965-11-28\",\n      \"spacecraft\": \"mariner 4\"\n    },\n    {\n      \"launched\": \"1972-12-02\",\n      \"spacecraft\": \"pioneer 10\"\n    },\n    {\n      \"launched\": \"1969-07-20\",\n      \"spacecraft\": \"apollo 11\"\n    },\n    {\n      \"launched\": \"2004-01-03\",\n      \"spacecraft\": \"spirit\"\n    },\n    {\n      \"launched\": \"2012-08-06\",\n      \"spacecraft\": \"curiosity\"\n    },\n    {\n      \"launched\": \"1997-10-15\",\n      \"spacecraft\": \"cassini\"\n    },\n    {\n      \"launched\": \"2006-03-01\",\n      \"spacecraft\": \"new horizons\"\n    },\n    {\n      \"launched\": \"1977-08-20\",\n      \"spacecraft\": \"voyager 2\"\n    },\n    {\n      \"launched\": \"2014-11-12\",\n      \"spacecraft\": \"rosetta\"\n    },\n    {\n      \"launched\": \"2008-03-14\",\n      \"spacecraft\": \"kepler\"\n    }\n  ]\n}", "idx": 31165}
{"context": "CREATE TABLE table_name_78 (final VARCHAR, athlete VARCHAR)", "sql_query": "select final from table_name_78 where athlete = 'rouhollah hosseini'", "question": "What was the final for rouhollah hosseini?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"final\": \"gold\",\n      \"athlete\": \"rouhollah hosseini\"\n    },\n    {\n      \"final\": \"silver\",\n      \"athlete\": \"john doe\"\n    },\n    {\n      \"final\": \"bronze\",\n      \"athlete\": \"jane smith\"\n    },\n    {\n      \"final\": \"gold\",\n      \"athlete\": \"michael johnson\"\n    },\n    {\n      \"final\": \"silver\",\n      \"athlete\": \"emma wilson\"\n    },\n    {\n      \"final\": \"bronze\",\n      \"athlete\": \"peter brown\"\n    },\n    {\n      \"final\": \"gold\",\n      \"athlete\": \"sarah thompson\"\n    },\n    {\n      \"final\": \"silver\",\n      \"athlete\": \"david miller\"\n    },\n    {\n      \"final\": \"bronze\",\n      \"athlete\": \"lisa anderson\"\n    },\n    {\n      \"final\": \"gold\",\n      \"athlete\": \"alexander jones\"\n    }\n  ]\n}", "idx": 31166}
{"context": "CREATE TABLE table_name_42 (home_team VARCHAR, venue VARCHAR)", "sql_query": "select home_team as score from table_name_42 where venue = 'junction oval'", "question": "What is the home team's score for the game at Junction Oval?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"home_team\": \"team a\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"home_team\": \"team b\",\n      \"venue\": \"mcg\"\n    },\n    {\n      \"home_team\": \"team c\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"home_team\": \"team d\",\n      \"venue\": \"scg\"\n    },\n    {\n      \"home_team\": \"team e\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"home_team\": \"team f\",\n      \"venue\": \"gabba\"\n    },\n    {\n      \"home_team\": \"team g\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"home_team\": \"team h\",\n      \"venue\": \"adelaide oval\"\n    },\n    {\n      \"home_team\": \"team i\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"home_team\": \"team j\",\n      \"venue\": \"optus stadium\"\n    }\n  ]\n}", "idx": 31168}
{"context": "CREATE TABLE airlines (name VARCHAR, alid VARCHAR); CREATE TABLE routes (alid VARCHAR)", "sql_query": "select t1.name from airlines as t1 join routes as t2 on t1.alid = t2.alid group by t1.name order by count(*) desc limit 1", "question": "Find the name of airline which runs the most number of routes.", "data_table": "{\n  \"airlines\": [\n    {\n      \"name\": \"delta\",\n      \"alid\": \"dl001\"\n    },\n    {\n      \"name\": \"united\",\n      \"alid\": \"ua001\"\n    },\n    {\n      \"name\": \"american airlines\",\n      \"alid\": \"aa001\"\n    },\n    {\n      \"name\": \"southwest\",\n      \"alid\": \"sw001\"\n    },\n    {\n      \"name\": \"jetblue\",\n      \"alid\": \"jb001\"\n    },\n    {\n      \"name\": \"british airways\",\n      \"alid\": \"ba001\"\n    },\n    {\n      \"name\": \"lufthansa\",\n      \"alid\": \"lh001\"\n    },\n    {\n      \"name\": \"air france\",\n      \"alid\": \"af001\"\n    },\n    {\n      \"name\": \"emirates\",\n      \"alid\": \"ek001\"\n    },\n    {\n      \"name\": \"qatar airways\",\n      \"alid\": \"qr001\"\n    }\n  ],\n  \"routes\": [\n    {\n      \"alid\": \"dl001\"\n    },\n    {\n      \"alid\": \"ua001\"\n    },\n    {\n      \"alid\": \"aa001\"\n    },\n    {\n      \"alid\": \"sw001\"\n    },\n    {\n      \"alid\": \"jb001\"\n    },\n    {\n      \"alid\": \"ba001\"\n    },\n    {\n      \"alid\": \"lh001\"\n    },\n    {\n      \"alid\": \"af001\"\n    },\n    {\n      \"alid\": \"ek001\"\n    },\n    {\n      \"alid\": \"qr001\"\n    }\n  ]\n}", "idx": 31169}
{"context": "CREATE TABLE table_name_63 (barrel_twist VARCHAR, barrel_length VARCHAR)", "sql_query": "select barrel_twist from table_name_63 where barrel_length = '11.5 in.'", "question": "Can you tell me the Barrel twist that has the Barrel lenght of 11.5 in.?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"barrel_twist\": \"1:7\",\n      \"barrel_length\": \"11.5 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:9\",\n      \"barrel_length\": \"16 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:8\",\n      \"barrel_length\": \"14.5 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:7\",\n      \"barrel_length\": \"10.3 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:9\",\n      \"barrel_length\": \"18 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:8\",\n      \"barrel_length\": \"13.7 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:7\",\n      \"barrel_length\": \"11.8 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:9\",\n      \"barrel_length\": \"16.5 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:8\",\n      \"barrel_length\": \"14.2 in.\"\n    },\n    {\n      \"barrel_twist\": \"1:7\",\n      \"barrel_length\": \"10.5 in.\"\n    }\n  ]\n}", "idx": 31170}
{"context": "CREATE TABLE table_28846752_4 (player VARCHAR, highest_score VARCHAR)", "sql_query": "select player from table_28846752_4 where highest_score = '84'", "question": "Who is the player when the highest score is 84?", "data_table": "{\n  \"table_28846752_4\": [\n    {\n      \"player\": \"john\",\n      \"highest_score\": \"84\"\n    },\n    {\n      \"player\": \"emily\",\n      \"highest_score\": \"92\"\n    },\n    {\n      \"player\": \"michael\",\n      \"highest_score\": \"76\"\n    },\n    {\n      \"player\": \"sarah\",\n      \"highest_score\": \"84\"\n    },\n    {\n      \"player\": \"david\",\n      \"highest_score\": \"68\"\n    },\n    {\n      \"player\": \"jessica\",\n      \"highest_score\": \"84\"\n    },\n    {\n      \"player\": \"daniel\",\n      \"highest_score\": \"79\"\n    },\n    {\n      \"player\": \"olivia\",\n      \"highest_score\": \"84\"\n    },\n    {\n      \"player\": \"matthew\",\n      \"highest_score\": \"88\"\n    },\n    {\n      \"player\": \"sophia\",\n      \"highest_score\": \"84\"\n    }\n  ]\n}", "idx": 31171}
{"context": "CREATE TABLE table_name_2 (proximity VARCHAR, honor VARCHAR, singular VARCHAR)", "sql_query": "select proximity from table_name_2 where honor = 'p' and singular = '\u1ebdr (his/her/its)'", "question": "What is Proximity, when Honor is P, and when Singular is \u1ebdr (his/her/its)?", "data_table": "{\n  \"table_name_2\": [\n    {\n      \"proximity\": \"near\",\n      \"honor\": \"p\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"far\",\n      \"honor\": \"p\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"close\",\n      \"honor\": \"h\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"distant\",\n      \"honor\": \"h\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"adjacent\",\n      \"honor\": \"p\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"remote\",\n      \"honor\": \"h\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"close\",\n      \"honor\": \"p\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"far\",\n      \"honor\": \"h\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"near\",\n      \"honor\": \"h\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    },\n    {\n      \"proximity\": \"remote\",\n      \"honor\": \"p\",\n      \"singular\": \"\u1ebdr (his/her/its)\"\n    }\n  ]\n}", "idx": 31172}
{"context": "CREATE TABLE table_name_60 (week_2 VARCHAR, week_3 VARCHAR)", "sql_query": "select week_2 from table_name_60 where week_3 = 'brittany alyse'", "question": "What was the week 2 prior to the when Brittany Alyse was week 3?", "data_table": "{\n  \"table_name_60\": [\n    {\n      \"week_2\": \"value1\",\n      \"week_3\": \"brittany alyse\"\n    },\n    {\n      \"week_2\": \"value2\",\n      \"week_3\": \"john doe\"\n    },\n    {\n      \"week_2\": \"value3\",\n      \"week_3\": \"jane smith\"\n    },\n    {\n      \"week_2\": \"value4\",\n      \"week_3\": \"brittany alyse\"\n    },\n    {\n      \"week_2\": \"value5\",\n      \"week_3\": \"michael brown\"\n    },\n    {\n      \"week_2\": \"value6\",\n      \"week_3\": \"brittany alyse\"\n    },\n    {\n      \"week_2\": \"value7\",\n      \"week_3\": \"john doe\"\n    },\n    {\n      \"week_2\": \"value8\",\n      \"week_3\": \"jane smith\"\n    },\n    {\n      \"week_2\": \"value9\",\n      \"week_3\": \"brittany alyse\"\n    },\n    {\n      \"week_2\": \"value10\",\n      \"week_3\": \"michael brown\"\n    }\n  ]\n}", "idx": 31173}
{"context": "CREATE TABLE table_25721_3 (total_viewers VARCHAR, airdate VARCHAR)", "sql_query": "select count(total_viewers) from table_25721_3 where airdate = '25 october 2012'", "question": "How many episodes aired on 25 october 2012?", "data_table": "{\n  \"table_25721_3\": [\n    {\n      \"total_viewers\": \"10 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"5 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"8 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"3 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"7 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"6 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"4 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"9 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"2 million\",\n      \"airdate\": \"25 october 2012\"\n    },\n    {\n      \"total_viewers\": \"1 million\",\n      \"airdate\": \"25 october 2012\"\n    }\n  ]\n}", "idx": 31174}
{"context": "CREATE TABLE table_name_53 (round VARCHAR, record VARCHAR)", "sql_query": "select round from table_name_53 where record = '4-1'", "question": "What is Round, when Record is \"4-1\"?", "data_table": "{\n  \"table_name_53\": [\n    {\n      \"round\": \"quarterfinals\",\n      \"record\": \"4-1\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"record\": \"2-3\"\n    },\n    {\n      \"round\": \"finals\",\n      \"record\": \"1-4\"\n    },\n    {\n      \"round\": \"quarterfinals\",\n      \"record\": \"3-2\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"record\": \"4-1\"\n    },\n    {\n      \"round\": \"finals\",\n      \"record\": \"2-3\"\n    },\n    {\n      \"round\": \"quarterfinals\",\n      \"record\": \"2-3\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"record\": \"3-2\"\n    },\n    {\n      \"round\": \"finals\",\n      \"record\": \"4-1\"\n    },\n    {\n      \"round\": \"quarterfinals\",\n      \"record\": \"1-4\"\n    }\n  ]\n}", "idx": 31175}
{"context": "CREATE TABLE table_name_39 (yield VARCHAR, location VARCHAR)", "sql_query": "select yield from table_name_39 where location = 'nts area 3s'", "question": "What was the yield for a blast that was in nts area 3s?", "data_table": "{\n  \"table_name_39\": [\n    {\n      \"yield\": \"10 tons\",\n      \"location\": \"nts area 3s\"\n    },\n    {\n      \"yield\": \"5 tons\",\n      \"location\": \"nts area 3s\"\n    },\n    {\n      \"yield\": \"8 tons\",\n      \"location\": \"nts area 2n\"\n    },\n    {\n      \"yield\": \"12 tons\",\n      \"location\": \"nts area 2n\"\n    },\n    {\n      \"yield\": \"7 tons\",\n      \"location\": \"nts area 1w\"\n    },\n    {\n      \"yield\": \"9 tons\",\n      \"location\": \"nts area 1w\"\n    },\n    {\n      \"yield\": \"6 tons\",\n      \"location\": \"nts area 4e\"\n    },\n    {\n      \"yield\": \"11 tons\",\n      \"location\": \"nts area 4e\"\n    },\n    {\n      \"yield\": \"4 tons\",\n      \"location\": \"nts area 5s\"\n    },\n    {\n      \"yield\": \"3 tons\",\n      \"location\": \"nts area 5s\"\n    }\n  ]\n}", "idx": 31176}
{"context": "CREATE TABLE table_name_14 (car___motorcycle VARCHAR, speed VARCHAR)", "sql_query": "select car___motorcycle from table_name_14 where speed = '91.813mph'", "question": "What car/motorcycle goes 91.813mph?", "data_table": "{\n  \"table_name_14\": [\n    {\n      \"car___motorcycle\": \"car\",\n      \"speed\": \"91.813mph\"\n    },\n    {\n      \"car___motorcycle\": \"motorcycle\",\n      \"speed\": \"85.672mph\"\n    },\n    {\n      \"car___motorcycle\": \"car\",\n      \"speed\": \"77.245mph\"\n    },\n    {\n      \"car___motorcycle\": \"motorcycle\",\n      \"speed\": \"91.813mph\"\n    },\n    {\n      \"car___motorcycle\": \"car\",\n      \"speed\": \"82.134mph\"\n    },\n    {\n      \"car___motorcycle\": \"motorcycle\",\n      \"speed\": \"89.512mph\"\n    },\n    {\n      \"car___motorcycle\": \"car\",\n      \"speed\": \"91.813mph\"\n    },\n    {\n      \"car___motorcycle\": \"motorcycle\",\n      \"speed\": \"79.421mph\"\n    },\n    {\n      \"car___motorcycle\": \"car\",\n      \"speed\": \"91.813mph\"\n    },\n    {\n      \"car___motorcycle\": \"motorcycle\",\n      \"speed\": \"88.976mph\"\n    }\n  ]\n}", "idx": 31177}
{"context": "CREATE TABLE table_name_32 (tie_no VARCHAR, away_team VARCHAR)", "sql_query": "select tie_no from table_name_32 where away_team = 'manchester united'", "question": "What is Tie No., when Away Team is \"Manchester United\"?", "data_table": "{\n  \"table_name_32\": [\n    {\n      \"tie_no\": \"1234\",\n      \"away_team\": \"manchester united\"\n    },\n    {\n      \"tie_no\": \"5678\",\n      \"away_team\": \"liverpool\"\n    },\n    {\n      \"tie_no\": \"91011\",\n      \"away_team\": \"chelsea\"\n    },\n    {\n      \"tie_no\": \"121314\",\n      \"away_team\": \"arsenal\"\n    },\n    {\n      \"tie_no\": \"151617\",\n      \"away_team\": \"manchester city\"\n    },\n    {\n      \"tie_no\": \"181920\",\n      \"away_team\": \"tottenham hotspur\"\n    },\n    {\n      \"tie_no\": \"212223\",\n      \"away_team\": \"everton\"\n    },\n    {\n      \"tie_no\": \"242526\",\n      \"away_team\": \"leicester city\"\n    },\n    {\n      \"tie_no\": \"272829\",\n      \"away_team\": \"west ham united\"\n    },\n    {\n      \"tie_no\": \"303132\",\n      \"away_team\": \"southampton\"\n    }\n  ]\n}", "idx": 31178}
{"context": "CREATE TABLE table_name_2 (silver VARCHAR, rank VARCHAR)", "sql_query": "select count(silver) from table_name_2 where rank = '2'", "question": "How many Silvers that have a Rank of 2?", "data_table": "{\n  \"table_name_2\": [\n    {\n      \"silver\": \"john\",\n      \"rank\": \"1\"\n    },\n    {\n      \"silver\": \"emily\",\n      \"rank\": \"2\"\n    },\n    {\n      \"silver\": \"michael\",\n      \"rank\": \"3\"\n    },\n    {\n      \"silver\": \"sophia\",\n      \"rank\": \"2\"\n    },\n    {\n      \"silver\": \"daniel\",\n      \"rank\": \"1\"\n    },\n    {\n      \"silver\": \"olivia\",\n      \"rank\": \"3\"\n    },\n    {\n      \"silver\": \"david\",\n      \"rank\": \"2\"\n    },\n    {\n      \"silver\": \"emma\",\n      \"rank\": \"1\"\n    },\n    {\n      \"silver\": \"matthew\",\n      \"rank\": \"3\"\n    },\n    {\n      \"silver\": \"ava\",\n      \"rank\": \"2\"\n    }\n  ]\n}", "idx": 31179}
{"context": "CREATE TABLE cinema (LOCATION VARCHAR)", "sql_query": "select distinct location from cinema", "question": "What are all the locations with a cinema?", "data_table": "{\n  \"cinema\": [\n    {\n      \"location\": \"new york\"\n    },\n    {\n      \"location\": \"los angeles\"\n    },\n    {\n      \"location\": \"chicago\"\n    },\n    {\n      \"location\": \"san francisco\"\n    },\n    {\n      \"location\": \"seattle\"\n    },\n    {\n      \"location\": \"miami\"\n    },\n    {\n      \"location\": \"houston\"\n    },\n    {\n      \"location\": \"boston\"\n    },\n    {\n      \"location\": \"denver\"\n    },\n    {\n      \"location\": \"atlanta\"\n    }\n  ]\n}", "idx": 31180}
{"context": "CREATE TABLE table_name_70 (date VARCHAR, competition VARCHAR)", "sql_query": "select date from table_name_70 where competition = 'friendly'", "question": "On what date was the Competition of Friendly held?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"competition\": \"friendly\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"competition\": \"friendly\"\n    }\n  ]\n}", "idx": 31181}
{"context": "CREATE TABLE table_23915973_1 (frequency VARCHAR, callsign VARCHAR)", "sql_query": "select frequency from table_23915973_1 where callsign = 'dxru-fm'", "question": "What is the frequency when callsign is dxru-fm?", "data_table": "{\n  \"table_23915973_1\": [\n    {\n      \"frequency\": \"100.5\",\n      \"callsign\": \"dxru-fm\"\n    },\n    {\n      \"frequency\": \"98.7\",\n      \"callsign\": \"wxyz-am\"\n    },\n    {\n      \"frequency\": \"102.3\",\n      \"callsign\": \"abcde-fm\"\n    },\n    {\n      \"frequency\": \"95.2\",\n      \"callsign\": \"klmn-am\"\n    },\n    {\n      \"frequency\": \"107.9\",\n      \"callsign\": \"pqrst-fm\"\n    },\n    {\n      \"frequency\": \"93.1\",\n      \"callsign\": \"uvwx-am\"\n    },\n    {\n      \"frequency\": \"99.9\",\n      \"callsign\": \"efghi-fm\"\n    },\n    {\n      \"frequency\": \"104.6\",\n      \"callsign\": \"ijkl-am\"\n    },\n    {\n      \"frequency\": \"96.4\",\n      \"callsign\": \"mnop-fm\"\n    },\n    {\n      \"frequency\": \"101.2\",\n      \"callsign\": \"qrst-am\"\n    }\n  ]\n}", "idx": 31182}
{"context": "CREATE TABLE table_name_79 (built VARCHAR, name VARCHAR)", "sql_query": "select built from table_name_79 where name = 'gila bend overpass'", "question": "In what year was the Gila Bend Overpass built?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"built\": \"2010\",\n      \"name\": \"gila bend overpass\"\n    },\n    {\n      \"built\": \"2005\",\n      \"name\": \"grand canyon bridge\"\n    },\n    {\n      \"built\": \"2012\",\n      \"name\": \"hoover dam bypass\"\n    },\n    {\n      \"built\": \"2008\",\n      \"name\": \"golden gate bridge\"\n    },\n    {\n      \"built\": \"2015\",\n      \"name\": \"brooklyn bridge\"\n    },\n    {\n      \"built\": \"2003\",\n      \"name\": \"sydney harbour bridge\"\n    },\n    {\n      \"built\": \"2017\",\n      \"name\": \"tower bridge\"\n    },\n    {\n      \"built\": \"2011\",\n      \"name\": \"millau viaduct\"\n    },\n    {\n      \"built\": \"2006\",\n      \"name\": \"charles bridge\"\n    },\n    {\n      \"built\": \"2014\",\n      \"name\": \"akashi kaikyo bridge\"\n    }\n  ]\n}", "idx": 31183}
{"context": "CREATE TABLE table_name_63 (record VARCHAR, date VARCHAR)", "sql_query": "select record from table_name_63 where date = 'january 7'", "question": "on january 7 what is the record?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"record\": \"record 1\",\n      \"date\": \"january 7\"\n    },\n    {\n      \"record\": \"record 2\",\n      \"date\": \"january 7\"\n    },\n    {\n      \"record\": \"record 3\",\n      \"date\": \"january 8\"\n    },\n    {\n      \"record\": \"record 4\",\n      \"date\": \"january 8\"\n    },\n    {\n      \"record\": \"record 5\",\n      \"date\": \"january 9\"\n    },\n    {\n      \"record\": \"record 6\",\n      \"date\": \"january 9\"\n    },\n    {\n      \"record\": \"record 7\",\n      \"date\": \"january 10\"\n    },\n    {\n      \"record\": \"record 8\",\n      \"date\": \"january 10\"\n    },\n    {\n      \"record\": \"record 9\",\n      \"date\": \"january 11\"\n    },\n    {\n      \"record\": \"record 10\",\n      \"date\": \"january 11\"\n    }\n  ]\n}", "idx": 31184}
{"context": "CREATE TABLE table_name_35 (venue VARCHAR, event VARCHAR, tournament VARCHAR)", "sql_query": "select venue from table_name_35 where event = '400 m hurdles' and tournament = 'olympic games'", "question": "What was the venue of the 400 M Hurdles for the Olympic Games?", "data_table": "{\n  \"table_name_35\": [\n    {\n      \"venue\": \"stadium a\",\n      \"event\": \"100 m sprint\",\n      \"tournament\": \"world championships\"\n    },\n    {\n      \"venue\": \"stadium b\",\n      \"event\": \"400 m hurdles\",\n      \"tournament\": \"olympic games\"\n    },\n    {\n      \"venue\": \"stadium c\",\n      \"event\": \"long jump\",\n      \"tournament\": \"commonwealth games\"\n    },\n    {\n      \"venue\": \"stadium d\",\n      \"event\": \"high jump\",\n      \"tournament\": \"european championships\"\n    },\n    {\n      \"venue\": \"stadium e\",\n      \"event\": \"shot put\",\n      \"tournament\": \"asian games\"\n    },\n    {\n      \"venue\": \"stadium f\",\n      \"event\": \"discus throw\",\n      \"tournament\": \"pan american games\"\n    },\n    {\n      \"venue\": \"stadium g\",\n      \"event\": \"triple jump\",\n      \"tournament\": \"african championships\"\n    },\n    {\n      \"venue\": \"stadium h\",\n      \"event\": \"pole vault\",\n      \"tournament\": \"world indoor championships\"\n    },\n    {\n      \"venue\": \"stadium i\",\n      \"event\": \"hammer throw\",\n      \"tournament\": \"south american games\"\n    },\n    {\n      \"venue\": \"stadium j\",\n      \"event\": \"javelin throw\",\n      \"tournament\": \"pacific games\"\n    }\n  ]\n}", "idx": 31185}
{"context": "CREATE TABLE table_name_11 (team VARCHAR, qual_2 VARCHAR)", "sql_query": "select team from table_name_11 where qual_2 = '1:01.093'", "question": "Which team had a qualifying 2 time of 1:01.093?", "data_table": "{\n  \"table_name_11\": [\n    {\n      \"team\": \"team a\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team b\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team c\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team d\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team e\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team f\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team g\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team h\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team i\",\n      \"qual_2\": \"1:01.093\"\n    },\n    {\n      \"team\": \"team j\",\n      \"qual_2\": \"1:01.093\"\n    }\n  ]\n}", "idx": 31186}
{"context": "CREATE TABLE table_29644931_1 (participants_recipients VARCHAR, film_festival VARCHAR)", "sql_query": "select participants_recipients from table_29644931_1 where film_festival = '61st berlin international film_festival'", "question": "Which films participated in the 61st Berlin international film festival?", "data_table": "{\n  \"table_29644931_1\": [\n    {\n      \"participants_recipients\": \"john doe\",\n      \"film_festival\": \"61st berlin international film_festival\"\n    },\n    {\n      \"participants_recipients\": \"jane smith\",\n      \"film_festival\": \"61st berlin international film_festival\"\n    },\n    {\n      \"participants_recipients\": \"michael johnson\",\n      \"film_festival\": \"62nd cannes film festival\"\n    },\n    {\n      \"participants_recipients\": \"emily davis\",\n      \"film_festival\": \"62nd cannes film festival\"\n    },\n    {\n      \"participants_recipients\": \"robert wilson\",\n      \"film_festival\": \"63rd venice film festival\"\n    },\n    {\n      \"participants_recipients\": \"sophia brown\",\n      \"film_festival\": \"63rd venice film festival\"\n    },\n    {\n      \"participants_recipients\": \"david thompson\",\n      \"film_festival\": \"64th sundance film festival\"\n    },\n    {\n      \"participants_recipients\": \"olivia martinez\",\n      \"film_festival\": \"64th sundance film festival\"\n    },\n    {\n      \"participants_recipients\": \"william anderson\",\n      \"film_festival\": \"65th toronto international film festival\"\n    },\n    {\n      \"participants_recipients\": \"emma wilson\",\n      \"film_festival\": \"65th toronto international film festival\"\n    }\n  ]\n}", "idx": 31187}
{"context": "CREATE TABLE table_159614_2 (harris VARCHAR, party VARCHAR)", "sql_query": "select harris from table_159614_2 where party = 'labour'", "question": "What is the percentage of the Labour Party on the Harris Poll", "data_table": "{\n  \"table_159614_2\": [\n    {\n      \"harris\": \"john\",\n      \"party\": \"labour\"\n    },\n    {\n      \"harris\": \"emily\",\n      \"party\": \"conservative\"\n    },\n    {\n      \"harris\": \"michael\",\n      \"party\": \"liberal\"\n    },\n    {\n      \"harris\": \"sarah\",\n      \"party\": \"green\"\n    },\n    {\n      \"harris\": \"david\",\n      \"party\": \"labour\"\n    },\n    {\n      \"harris\": \"sophia\",\n      \"party\": \"conservative\"\n    },\n    {\n      \"harris\": \"daniel\",\n      \"party\": \"liberal\"\n    },\n    {\n      \"harris\": \"olivia\",\n      \"party\": \"green\"\n    },\n    {\n      \"harris\": \"james\",\n      \"party\": \"labour\"\n    },\n    {\n      \"harris\": \"ava\",\n      \"party\": \"conservative\"\n    }\n  ]\n}", "idx": 31188}
{"context": "CREATE TABLE table_12275654_1 (year INTEGER, mens_singles VARCHAR)", "sql_query": "select min(year) from table_12275654_1 where mens_singles = 'chetan anand'", "question": "When did Chetan Anand win his first men's single?", "data_table": "{\n  \"table_12275654_1\": [\n    {\n      \"year\": 2015,\n      \"mens_singles\": \"chetan anand\"\n    },\n    {\n      \"year\": 2016,\n      \"mens_singles\": \"lee chong wei\"\n    },\n    {\n      \"year\": 2017,\n      \"mens_singles\": \"kento momota\"\n    },\n    {\n      \"year\": 2018,\n      \"mens_singles\": \"chen long\"\n    },\n    {\n      \"year\": 2019,\n      \"mens_singles\": \"viktor axelsen\"\n    },\n    {\n      \"year\": 2020,\n      \"mens_singles\": \"kento momota\"\n    },\n    {\n      \"year\": 2021,\n      \"mens_singles\": \"anders antonsen\"\n    },\n    {\n      \"year\": 2022,\n      \"mens_singles\": \"kento momota\"\n    },\n    {\n      \"year\": 2023,\n      \"mens_singles\": \"chen long\"\n    },\n    {\n      \"year\": 2024,\n      \"mens_singles\": \"kento momota\"\n    }\n  ]\n}", "idx": 31189}
{"context": "CREATE TABLE table_name_65 (_ VARCHAR, knots_knots VARCHAR, name VARCHAR)", "sql_query": "select knots_knots as :_pseudoknot_prediction, _ from table_name_65 where name = 'tfold'", "question": "What is the pseudoknot prediction of the software named tfold?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"_\": \"value1\",\n      \"knots_knots\": \"knot1\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value2\",\n      \"knots_knots\": \"knot2\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value3\",\n      \"knots_knots\": \"knot3\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value4\",\n      \"knots_knots\": \"knot4\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value5\",\n      \"knots_knots\": \"knot5\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value6\",\n      \"knots_knots\": \"knot6\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value7\",\n      \"knots_knots\": \"knot7\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value8\",\n      \"knots_knots\": \"knot8\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value9\",\n      \"knots_knots\": \"knot9\",\n      \"name\": \"tfold\"\n    },\n    {\n      \"_\": \"value10\",\n      \"knots_knots\": \"knot10\",\n      \"name\": \"tfold\"\n    }\n  ]\n}", "idx": 31190}
{"context": "CREATE TABLE table_name_8 (attendance VARCHAR, score VARCHAR)", "sql_query": "select attendance from table_name_8 where score = '0-6'", "question": "What was the attendance for the game where the score was 0-6?", "data_table": "{\n  \"table_name_8\": [\n    {\n      \"attendance\": \"present\",\n      \"score\": \"0-6\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"score\": \"7-10\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"score\": \"0-6\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"score\": \"11-15\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"score\": \"16-20\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"score\": \"0-6\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"score\": \"7-10\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"score\": \"11-15\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"score\": \"16-20\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"score\": \"0-6\"\n    }\n  ]\n}", "idx": 31191}
{"context": "CREATE TABLE table_name_61 (builder\u2019s_model VARCHAR, service VARCHAR, prr_class VARCHAR)", "sql_query": "select builder\u2019s_model from table_name_61 where service = 'freight' and prr_class = 'gf28a'", "question": "What was the model for PRR class of gf28a freight?", "data_table": "{\n  \"table_name_61\": [\n    {\n      \"builder\u2019s_model\": \"model a\",\n      \"service\": \"freight\",\n      \"prr_class\": \"gf28a\"\n    },\n    {\n      \"builder\u2019s_model\": \"model b\",\n      \"service\": \"freight\",\n      \"prr_class\": \"gf28a\"\n    },\n    {\n      \"builder\u2019s_model\": \"model c\",\n      \"service\": \"passenger\",\n      \"prr_class\": \"gf28a\"\n    },\n    {\n      \"builder\u2019s_model\": \"model d\",\n      \"service\": \"freight\",\n      \"prr_class\": \"gf28b\"\n    },\n    {\n      \"builder\u2019s_model\": \"model e\",\n      \"service\": \"passenger\",\n      \"prr_class\": \"gf28b\"\n    },\n    {\n      \"builder\u2019s_model\": \"model f\",\n      \"service\": \"freight\",\n      \"prr_class\": \"gf28c\"\n    },\n    {\n      \"builder\u2019s_model\": \"model g\",\n      \"service\": \"passenger\",\n      \"prr_class\": \"gf28c\"\n    },\n    {\n      \"builder\u2019s_model\": \"model h\",\n      \"service\": \"freight\",\n      \"prr_class\": \"gf28d\"\n    },\n    {\n      \"builder\u2019s_model\": \"model i\",\n      \"service\": \"passenger\",\n      \"prr_class\": \"gf28d\"\n    },\n    {\n      \"builder\u2019s_model\": \"model j\",\n      \"service\": \"freight\",\n      \"prr_class\": \"gf28e\"\n    }\n  ]\n}", "idx": 31194}
{"context": "CREATE TABLE table_148578_1 (yield__approximate_ VARCHAR, explosion VARCHAR)", "sql_query": "select yield__approximate_ from table_148578_1 where explosion = 'k-4'", "question": "What was the yield of the K-4 explosion?", "data_table": "{\n  \"table_148578_1\": [\n    {\n      \"yield__approximate_\": \"10 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"5 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"2 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"8 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"15 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"12 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"7 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"3 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"6 kilotons\",\n      \"explosion\": \"k-4\"\n    },\n    {\n      \"yield__approximate_\": \"9 kilotons\",\n      \"explosion\": \"k-4\"\n    }\n  ]\n}", "idx": 31196}
{"context": "CREATE TABLE table_2850912_7 (player VARCHAR, college_junior_club_team VARCHAR)", "sql_query": "select player from table_2850912_7 where college_junior_club_team = 'new westminster bruins (whl)'", "question": "What is the name of the player when the college/junior/club team is new westminster bruins (whl)?", "data_table": "{\n  \"table_2850912_7\": [\n    {\n      \"player\": \"john smith\",\n      \"college_junior_club_team\": \"new westminster bruins (whl)\"\n    },\n    {\n      \"player\": \"michael johnson\",\n      \"college_junior_club_team\": \"vancouver giants (whl)\"\n    },\n    {\n      \"player\": \"david thompson\",\n      \"college_junior_club_team\": \"seattle thunderbirds (whl)\"\n    },\n    {\n      \"player\": \"robert wilson\",\n      \"college_junior_club_team\": \"portland winterhawks (whl)\"\n    },\n    {\n      \"player\": \"christopher davis\",\n      \"college_junior_club_team\": \"everett silvertips (whl)\"\n    },\n    {\n      \"player\": \"daniel anderson\",\n      \"college_junior_club_team\": \"spokane chiefs (whl)\"\n    },\n    {\n      \"player\": \"matthew taylor\",\n      \"college_junior_club_team\": \"prince george cougars (whl)\"\n    },\n    {\n      \"player\": \"andrew martinez\",\n      \"college_junior_club_team\": \"kamloops blazers (whl)\"\n    },\n    {\n      \"player\": \"james brown\",\n      \"college_junior_club_team\": \"tri-city americans (whl)\"\n    },\n    {\n      \"player\": \"william garcia\",\n      \"college_junior_club_team\": \"medicine hat tigers (whl)\"\n    }\n  ]\n}", "idx": 31197}
{"context": "CREATE TABLE table_name_47 (frequency INTEGER, brand VARCHAR)", "sql_query": "select sum(frequency) from table_name_47 where brand = 'exa fm'", "question": "Name the sum of frequecy with brand of exa fm", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"frequency\": 10,\n      \"brand\": \"exa fm\"\n    },\n    {\n      \"frequency\": 5,\n      \"brand\": \"mix 106.5\"\n    },\n    {\n      \"frequency\": 8,\n      \"brand\": \"kiss fm\"\n    },\n    {\n      \"frequency\": 3,\n      \"brand\": \"hot 97\"\n    },\n    {\n      \"frequency\": 6,\n      \"brand\": \"power 105.1\"\n    },\n    {\n      \"frequency\": 12,\n      \"brand\": \"z100\"\n    },\n    {\n      \"frequency\": 7,\n      \"brand\": \"lite fm\"\n    },\n    {\n      \"frequency\": 4,\n      \"brand\": \"wqxr\"\n    },\n    {\n      \"frequency\": 9,\n      \"brand\": \"ktu\"\n    },\n    {\n      \"frequency\": 11,\n      \"brand\": \"wfan\"\n    }\n  ]\n}", "idx": 31201}
{"context": "CREATE TABLE table_name_43 (sponsor VARCHAR, date_introduced VARCHAR)", "sql_query": "select sponsor from table_name_43 where date_introduced = 'april 22, 2004'", "question": "Who was the sponsor on April 22, 2004?", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"sponsor\": \"john smith\",\n      \"date_introduced\": \"april 22, 2004\"\n    },\n    {\n      \"sponsor\": \"jane doe\",\n      \"date_introduced\": \"april 22, 2004\"\n    },\n    {\n      \"sponsor\": \"michael johnson\",\n      \"date_introduced\": \"may 10, 2005\"\n    },\n    {\n      \"sponsor\": \"emily brown\",\n      \"date_introduced\": \"june 5, 2006\"\n    },\n    {\n      \"sponsor\": \"david wilson\",\n      \"date_introduced\": \"april 22, 2004\"\n    },\n    {\n      \"sponsor\": \"sarah thompson\",\n      \"date_introduced\": \"may 10, 2005\"\n    },\n    {\n      \"sponsor\": \"robert davis\",\n      \"date_introduced\": \"june 5, 2006\"\n    },\n    {\n      \"sponsor\": \"jennifer anderson\",\n      \"date_introduced\": \"april 22, 2004\"\n    },\n    {\n      \"sponsor\": \"christopher taylor\",\n      \"date_introduced\": \"may 10, 2005\"\n    },\n    {\n      \"sponsor\": \"amanda martinez\",\n      \"date_introduced\": \"june 5, 2006\"\n    }\n  ]\n}", "idx": 31202}
{"context": "CREATE TABLE table_name_17 (position VARCHAR, name VARCHAR)", "sql_query": "select position from table_name_17 where name = 'john taft'", "question": "Which Position has a Name of john taft?", "data_table": "{\n  \"table_name_17\": [\n    {\n      \"position\": \"manager\",\n      \"name\": \"john taft\"\n    },\n    {\n      \"position\": \"analyst\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"position\": \"developer\",\n      \"name\": \"mike johnson\"\n    },\n    {\n      \"position\": \"intern\",\n      \"name\": \"emily davis\"\n    },\n    {\n      \"position\": \"supervisor\",\n      \"name\": \"david thompson\"\n    },\n    {\n      \"position\": \"consultant\",\n      \"name\": \"sarah brown\"\n    },\n    {\n      \"position\": \"engineer\",\n      \"name\": \"robert wilson\"\n    },\n    {\n      \"position\": \"director\",\n      \"name\": \"karen miller\"\n    },\n    {\n      \"position\": \"administrator\",\n      \"name\": \"michael clark\"\n    },\n    {\n      \"position\": \"coordinator\",\n      \"name\": \"jessica lee\"\n    }\n  ]\n}", "idx": 31204}
{"context": "CREATE TABLE table_29273390_1 (no_in_season INTEGER)", "sql_query": "select min(no_in_season) from table_29273390_1", "question": "What is the least amount in each season? ", "data_table": "{\n  \"table_29273390_1\": [\n    {\n      \"no_in_season\": 5\n    },\n    {\n      \"no_in_season\": 8\n    },\n    {\n      \"no_in_season\": 3\n    },\n    {\n      \"no_in_season\": 2\n    },\n    {\n      \"no_in_season\": 7\n    },\n    {\n      \"no_in_season\": 4\n    },\n    {\n      \"no_in_season\": 6\n    },\n    {\n      \"no_in_season\": 1\n    },\n    {\n      \"no_in_season\": 9\n    },\n    {\n      \"no_in_season\": 10\n    }\n  ]\n}", "idx": 31205}
{"context": "CREATE TABLE table_name_7 (date VARCHAR, result VARCHAR, site VARCHAR, attendance VARCHAR)", "sql_query": "select date from table_name_7 where site = 'memorial stadium \u2022 minneapolis, mn' and attendance = '20,000' and result = 'w52-0'", "question": "What is the Date at memorial stadium \u2022 minneapolis, mn with an Attendance of 20,000, and a Result of w52-0?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"result\": \"w52-0\",\n      \"site\": \"memorial stadium \u2022 minneapolis, mn\",\n      \"attendance\": \"20,000\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"result\": \"l14-21\",\n      \"site\": \"rose bowl \u2022 pasadena, ca\",\n      \"attendance\": \"80,000\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"result\": \"w35-14\",\n      \"site\": \"lambeau field \u2022 green bay, wi\",\n      \"attendance\": \"70,000\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"result\": \"l7-10\",\n      \"site\": \"gillette stadium \u2022 foxborough, ma\",\n      \"attendance\": \"65,000\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"result\": \"w28-7\",\n      \"site\": \"mercedes-benz stadium \u2022 atlanta, ga\",\n      \"attendance\": \"75,000\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"result\": \"l10-17\",\n      \"site\": \"arrowhead stadium \u2022 kansas city, mo\",\n      \"attendance\": \"80,000\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"result\": \"w42-14\",\n      \"site\": \"sofi stadium \u2022 inglewood, ca\",\n      \"attendance\": \"90,000\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"result\": \"l21-24\",\n      \"site\": \"metlife stadium \u2022 east rutherford, nj\",\n      \"attendance\": \"85,000\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"result\": \"w31-10\",\n      \"site\": \"nrg stadium \u2022 houston, tx\",\n      \"attendance\": \"70,000\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"result\": \"l17-21\",\n      \"site\": \"state farm stadium \u2022 glendale, az\",\n      \"attendance\": \"60,000\"\n    }\n  ]\n}", "idx": 31206}
{"context": "CREATE TABLE table_name_8 (pitcher VARCHAR, date VARCHAR)", "sql_query": "select pitcher from table_name_8 where date = 'september 6, 2006'", "question": "Tell me the pitcher on september 6, 2006", "data_table": "{\n  \"table_name_8\": [\n    {\n      \"pitcher\": \"john smith\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"michael johnson\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"david miller\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"robert brown\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"daniel davis\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"christopher wilson\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"matthew taylor\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"andrew anderson\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"james martinez\",\n      \"date\": \"september 6, 2006\"\n    },\n    {\n      \"pitcher\": \"joseph thomas\",\n      \"date\": \"september 6, 2006\"\n    }\n  ]\n}", "idx": 31207}
{"context": "CREATE TABLE table_13657749_2 (rnd VARCHAR, gto_winning_team VARCHAR)", "sql_query": "select rnd from table_13657749_2 where gto_winning_team = 'mike keyser'", "question": "What is GTO Winning Team Mike Keyser's RND number?", "data_table": "{\n  \"table_13657749_2\": [\n    {\n      \"rnd\": \"abc\",\n      \"gto_winning_team\": \"mike keyser\"\n    },\n    {\n      \"rnd\": \"def\",\n      \"gto_winning_team\": \"john doe\"\n    },\n    {\n      \"rnd\": \"ghi\",\n      \"gto_winning_team\": \"mike keyser\"\n    },\n    {\n      \"rnd\": \"jkl\",\n      \"gto_winning_team\": \"jane smith\"\n    },\n    {\n      \"rnd\": \"mno\",\n      \"gto_winning_team\": \"mike keyser\"\n    },\n    {\n      \"rnd\": \"pqr\",\n      \"gto_winning_team\": \"john doe\"\n    },\n    {\n      \"rnd\": \"stu\",\n      \"gto_winning_team\": \"mike keyser\"\n    },\n    {\n      \"rnd\": \"vwx\",\n      \"gto_winning_team\": \"jane smith\"\n    },\n    {\n      \"rnd\": \"yz\",\n      \"gto_winning_team\": \"mike keyser\"\n    },\n    {\n      \"rnd\": \"123\",\n      \"gto_winning_team\": \"john doe\"\n    }\n  ]\n}", "idx": 31208}
{"context": "CREATE TABLE table_27653955_1 (ihsa_music_class VARCHAR, mascot VARCHAR)", "sql_query": "select ihsa_music_class from table_27653955_1 where mascot = 'lancers'", "question": "What is the IHSA music class for the mascot that is the lancers?", "data_table": "{\n  \"table_27653955_1\": [\n    {\n      \"ihsa_music_class\": \"marching band\",\n      \"mascot\": \"lancers\"\n    },\n    {\n      \"ihsa_music_class\": \"choir\",\n      \"mascot\": \"tigers\"\n    },\n    {\n      \"ihsa_music_class\": \"orchestra\",\n      \"mascot\": \"eagles\"\n    },\n    {\n      \"ihsa_music_class\": \"jazz band\",\n      \"mascot\": \"bulldogs\"\n    },\n    {\n      \"ihsa_music_class\": \"concert band\",\n      \"mascot\": \"lions\"\n    },\n    {\n      \"ihsa_music_class\": \"string ensemble\",\n      \"mascot\": \"panthers\"\n    },\n    {\n      \"ihsa_music_class\": \"symphony orchestra\",\n      \"mascot\": \"cougars\"\n    },\n    {\n      \"ihsa_music_class\": \"a cappella group\",\n      \"mascot\": \"hawks\"\n    },\n    {\n      \"ihsa_music_class\": \"pep band\",\n      \"mascot\": \"knights\"\n    },\n    {\n      \"ihsa_music_class\": \"chamber choir\",\n      \"mascot\": \"bears\"\n    }\n  ]\n}", "idx": 31209}
{"context": "CREATE TABLE table_name_7 (place VARCHAR, player VARCHAR)", "sql_query": "select place from table_name_7 where player = 'dave barr'", "question": "In what place did Dave Barr score?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"place\": \"new york\",\n      \"player\": \"john smith\"\n    },\n    {\n      \"place\": \"los angeles\",\n      \"player\": \"dave barr\"\n    },\n    {\n      \"place\": \"chicago\",\n      \"player\": \"sarah johnson\"\n    },\n    {\n      \"place\": \"san francisco\",\n      \"player\": \"michael brown\"\n    },\n    {\n      \"place\": \"miami\",\n      \"player\": \"emily davis\"\n    },\n    {\n      \"place\": \"seattle\",\n      \"player\": \"david wilson\"\n    },\n    {\n      \"place\": \"boston\",\n      \"player\": \"daniel thompson\"\n    },\n    {\n      \"place\": \"houston\",\n      \"player\": \"jessica martinez\"\n    },\n    {\n      \"place\": \"denver\",\n      \"player\": \"andrew taylor\"\n    },\n    {\n      \"place\": \"phoenix\",\n      \"player\": \"olivia anderson\"\n    }\n  ]\n}", "idx": 31210}
{"context": "CREATE TABLE table_1341586_26 (candidates VARCHAR, district VARCHAR)", "sql_query": "select candidates from table_1341586_26 where district = 'missouri 3'", "question": "Which candidates are from the Missouri 3 district?", "data_table": "{\n  \"table_1341586_26\": [\n    {\n      \"candidates\": \"john doe\",\n      \"district\": \"missouri 1\"\n    },\n    {\n      \"candidates\": \"jane smith\",\n      \"district\": \"missouri 2\"\n    },\n    {\n      \"candidates\": \"michael johnson\",\n      \"district\": \"missouri 3\"\n    },\n    {\n      \"candidates\": \"emily brown\",\n      \"district\": \"missouri 4\"\n    },\n    {\n      \"candidates\": \"david wilson\",\n      \"district\": \"missouri 5\"\n    },\n    {\n      \"candidates\": \"sarah davis\",\n      \"district\": \"missouri 6\"\n    },\n    {\n      \"candidates\": \"robert thompson\",\n      \"district\": \"missouri 7\"\n    },\n    {\n      \"candidates\": \"jennifer martinez\",\n      \"district\": \"missouri 8\"\n    },\n    {\n      \"candidates\": \"christopher anderson\",\n      \"district\": \"missouri 9\"\n    },\n    {\n      \"candidates\": \"jessica taylor\",\n      \"district\": \"missouri 10\"\n    }\n  ]\n}", "idx": 31211}
{"context": "CREATE TABLE table_10015132_21 (no INTEGER, years_in_toronto VARCHAR)", "sql_query": "select min(no) from table_10015132_21 where years_in_toronto = '1998-2001'", "question": "What number is the player that played 1998-2001", "data_table": "{\n  \"table_10015132_21\": [\n    {\n      \"no\": 1,\n      \"years_in_toronto\": \"1998-2001\"\n    },\n    {\n      \"no\": 2,\n      \"years_in_toronto\": \"2002-2005\"\n    },\n    {\n      \"no\": 3,\n      \"years_in_toronto\": \"2006-2009\"\n    },\n    {\n      \"no\": 4,\n      \"years_in_toronto\": \"2010-2013\"\n    },\n    {\n      \"no\": 5,\n      \"years_in_toronto\": \"2014-2017\"\n    },\n    {\n      \"no\": 6,\n      \"years_in_toronto\": \"2018-2021\"\n    },\n    {\n      \"no\": 7,\n      \"years_in_toronto\": \"2022-2025\"\n    },\n    {\n      \"no\": 8,\n      \"years_in_toronto\": \"2026-2029\"\n    },\n    {\n      \"no\": 9,\n      \"years_in_toronto\": \"2030-2033\"\n    },\n    {\n      \"no\": 10,\n      \"years_in_toronto\": \"2034-2037\"\n    }\n  ]\n}", "idx": 31212}
{"context": "CREATE TABLE table_name_1 (peak_date VARCHAR, main_artist VARCHAR)", "sql_query": "select peak_date from table_name_1 where main_artist = 'kelis'", "question": "What was the peak date of Kelis's song?", "data_table": "{\n  \"table_name_1\": [\n    {\n      \"peak_date\": \"2021-01-01\",\n      \"main_artist\": \"kelis\"\n    },\n    {\n      \"peak_date\": \"2020-05-15\",\n      \"main_artist\": \"beyonce\"\n    },\n    {\n      \"peak_date\": \"2019-09-30\",\n      \"main_artist\": \"rihanna\"\n    },\n    {\n      \"peak_date\": \"2018-07-10\",\n      \"main_artist\": \"ariana grande\"\n    },\n    {\n      \"peak_date\": \"2017-03-25\",\n      \"main_artist\": \"taylor swift\"\n    },\n    {\n      \"peak_date\": \"2016-11-11\",\n      \"main_artist\": \"katy perry\"\n    },\n    {\n      \"peak_date\": \"2015-08-05\",\n      \"main_artist\": \"lady gaga\"\n    },\n    {\n      \"peak_date\": \"2014-02-20\",\n      \"main_artist\": \"justin bieber\"\n    },\n    {\n      \"peak_date\": \"2013-06-18\",\n      \"main_artist\": \"bruno mars\"\n    },\n    {\n      \"peak_date\": \"2012-12-03\",\n      \"main_artist\": \"ed sheeran\"\n    }\n  ]\n}", "idx": 31213}
{"context": "CREATE TABLE table_25716397_1 (no_in_season VARCHAR, written_by VARCHAR)", "sql_query": "select count(no_in_season) from table_25716397_1 where written_by = 'tom scharpling and daniel dratch'", "question": "How many episodes were written by Tom Scharpling and Daniel Dratch?", "data_table": "{\n  \"table_25716397_1\": [\n    {\n      \"no_in_season\": \"1\",\n      \"written_by\": \"tom scharpling and daniel dratch\"\n    },\n    {\n      \"no_in_season\": \"2\",\n      \"written_by\": \"tom scharpling and daniel dratch\"\n    },\n    {\n      \"no_in_season\": \"3\",\n      \"written_by\": \"john smith\"\n    },\n    {\n      \"no_in_season\": \"4\",\n      \"written_by\": \"john smith\"\n    },\n    {\n      \"no_in_season\": \"5\",\n      \"written_by\": \"mary jones\"\n    },\n    {\n      \"no_in_season\": \"6\",\n      \"written_by\": \"mary jones\"\n    },\n    {\n      \"no_in_season\": \"7\",\n      \"written_by\": \"jane doe\"\n    },\n    {\n      \"no_in_season\": \"8\",\n      \"written_by\": \"jane doe\"\n    },\n    {\n      \"no_in_season\": \"9\",\n      \"written_by\": \"michael brown\"\n    },\n    {\n      \"no_in_season\": \"10\",\n      \"written_by\": \"michael brown\"\n    }\n  ]\n}", "idx": 31214}
{"context": "CREATE TABLE table_name_7 (home_team VARCHAR, venue VARCHAR)", "sql_query": "select home_team as score from table_name_7 where venue = 'victoria park'", "question": "What is the home team score when they played at Victoria Park?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"home_team\": \"team a\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team b\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team c\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team d\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team e\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team f\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team g\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team h\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team i\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"home_team\": \"team j\",\n      \"venue\": \"victoria park\"\n    }\n  ]\n}", "idx": 31215}
{"context": "CREATE TABLE table_name_49 (website VARCHAR, head_coach VARCHAR)", "sql_query": "select website from table_name_49 where head_coach = 'yuriy korotkevich'", "question": "What is the Website of Head Coach Yuriy Korotkevich?", "data_table": "{\n  \"table_name_49\": [\n    {\n      \"website\": \"www.example1.com\",\n      \"head_coach\": \"yuriy korotkevich\"\n    },\n    {\n      \"website\": \"www.example2.com\",\n      \"head_coach\": \"john doe\"\n    },\n    {\n      \"website\": \"www.example3.com\",\n      \"head_coach\": \"jane smith\"\n    },\n    {\n      \"website\": \"www.example4.com\",\n      \"head_coach\": \"yuriy korotkevich\"\n    },\n    {\n      \"website\": \"www.example5.com\",\n      \"head_coach\": \"michael brown\"\n    },\n    {\n      \"website\": \"www.example6.com\",\n      \"head_coach\": \"yuriy korotkevich\"\n    },\n    {\n      \"website\": \"www.example7.com\",\n      \"head_coach\": \"sarah jones\"\n    },\n    {\n      \"website\": \"www.example8.com\",\n      \"head_coach\": \"yuriy korotkevich\"\n    },\n    {\n      \"website\": \"www.example9.com\",\n      \"head_coach\": \"alexander smith\"\n    },\n    {\n      \"website\": \"www.example10.com\",\n      \"head_coach\": \"yuriy korotkevich\"\n    }\n  ]\n}", "idx": 31216}
{"context": "CREATE TABLE table_name_97 (platform___os VARCHAR, name VARCHAR)", "sql_query": "select platform___os from table_name_97 where name = 'altova umodel'", "question": "Which Platform / OS has a Name of altova umodel?", "data_table": "{\n  \"table_name_97\": [\n    {\n      \"platform___os\": \"windows\",\n      \"name\": \"altova umodel\"\n    },\n    {\n      \"platform___os\": \"linux\",\n      \"name\": \"altova umodel\"\n    },\n    {\n      \"platform___os\": \"mac\",\n      \"name\": \"altova umodel\"\n    },\n    {\n      \"platform___os\": \"windows\",\n      \"name\": \"visual studio\"\n    },\n    {\n      \"platform___os\": \"linux\",\n      \"name\": \"visual studio\"\n    },\n    {\n      \"platform___os\": \"mac\",\n      \"name\": \"visual studio\"\n    },\n    {\n      \"platform___os\": \"windows\",\n      \"name\": \"eclipse\"\n    },\n    {\n      \"platform___os\": \"linux\",\n      \"name\": \"eclipse\"\n    },\n    {\n      \"platform___os\": \"mac\",\n      \"name\": \"eclipse\"\n    },\n    {\n      \"platform___os\": \"windows\",\n      \"name\": \"pycharm\"\n    },\n    {\n      \"platform___os\": \"linux\",\n      \"name\": \"pycharm\"\n    }\n  ]\n}", "idx": 31217}
{"context": "CREATE TABLE table_23614702_2 (warship VARCHAR, main_artillery VARCHAR)", "sql_query": "select warship from table_23614702_2 where main_artillery = '1x115-2x70-2x12-pounders'", "question": "List the ship with 1x115-2x70-2x12-pounders for primary artillery.", "data_table": "{\n  \"table_23614702_2\": [\n    {\n      \"warship\": \"hms victory\",\n      \"main_artillery\": \"1x115-2x70-2x12-pounders\"\n    },\n    {\n      \"warship\": \"uss constitution\",\n      \"main_artillery\": \"2x32-pounders-2x24-pounders\"\n    },\n    {\n      \"warship\": \"bismarck\",\n      \"main_artillery\": \"4x15-inch-guns\"\n    },\n    {\n      \"warship\": \"yamato\",\n      \"main_artillery\": \"3x18.1-inch-guns\"\n    },\n    {\n      \"warship\": \"hms dreadnought\",\n      \"main_artillery\": \"10x12-inch-guns\"\n    },\n    {\n      \"warship\": \"uss iowa\",\n      \"main_artillery\": \"9x16-inch-guns\"\n    },\n    {\n      \"warship\": \"kms tirpitz\",\n      \"main_artillery\": \"8x15-inch-guns\"\n    },\n    {\n      \"warship\": \"hms hood\",\n      \"main_artillery\": \"8x15-inch-guns\"\n    },\n    {\n      \"warship\": \"uss arizona\",\n      \"main_artillery\": \"12x14-inch-guns\"\n    },\n    {\n      \"warship\": \"ijn musashi\",\n      \"main_artillery\": \"9x18.1-inch-guns\"\n    }\n  ]\n}", "idx": 31219}
{"context": "CREATE TABLE table_name_24 (game INTEGER, record VARCHAR)", "sql_query": "select min(game) from table_name_24 where record = '1-0-2'", "question": "Name the least game for record of 1-0-2", "data_table": "{\n  \"table_name_24\": [\n    {\n      \"game\": 1,\n      \"record\": \"1-0-2\"\n    },\n    {\n      \"game\": 2,\n      \"record\": \"0-1-3\"\n    },\n    {\n      \"game\": 3,\n      \"record\": \"2-1-0\"\n    },\n    {\n      \"game\": 4,\n      \"record\": \"1-0-2\"\n    },\n    {\n      \"game\": 5,\n      \"record\": \"0-1-3\"\n    },\n    {\n      \"game\": 6,\n      \"record\": \"2-1-0\"\n    },\n    {\n      \"game\": 7,\n      \"record\": \"1-0-2\"\n    },\n    {\n      \"game\": 8,\n      \"record\": \"0-1-3\"\n    },\n    {\n      \"game\": 9,\n      \"record\": \"2-1-0\"\n    },\n    {\n      \"game\": 10,\n      \"record\": \"1-0-2\"\n    }\n  ]\n}", "idx": 31221}
{"context": "CREATE TABLE table_name_99 (winner VARCHAR, location VARCHAR)", "sql_query": "select winner from table_name_99 where location = 'virginia'", "question": "What is the winner for Virginia?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"winner\": \"john\",\n      \"location\": \"virginia\"\n    },\n    {\n      \"winner\": \"emily\",\n      \"location\": \"california\"\n    },\n    {\n      \"winner\": \"michael\",\n      \"location\": \"texas\"\n    },\n    {\n      \"winner\": \"sophia\",\n      \"location\": \"new york\"\n    },\n    {\n      \"winner\": \"daniel\",\n      \"location\": \"florida\"\n    },\n    {\n      \"winner\": \"olivia\",\n      \"location\": \"virginia\"\n    },\n    {\n      \"winner\": \"ethan\",\n      \"location\": \"washington\"\n    },\n    {\n      \"winner\": \"ava\",\n      \"location\": \"virginia\"\n    },\n    {\n      \"winner\": \"william\",\n      \"location\": \"arizona\"\n    },\n    {\n      \"winner\": \"isabella\",\n      \"location\": \"virginia\"\n    }\n  ]\n}", "idx": 31222}
{"context": "CREATE TABLE table_name_19 (crowd VARCHAR, away_team VARCHAR)", "sql_query": "select crowd from table_name_19 where away_team = 'footscray'", "question": "What was the attendance at the Footscray away game?", "data_table": "{\n  \"table_name_19\": [\n    {\n      \"crowd\": \"10000\",\n      \"away_team\": \"footscray\"\n    },\n    {\n      \"crowd\": \"15000\",\n      \"away_team\": \"collingwood\"\n    },\n    {\n      \"crowd\": \"20000\",\n      \"away_team\": \"essendon\"\n    },\n    {\n      \"crowd\": \"12000\",\n      \"away_team\": \"geelong\"\n    },\n    {\n      \"crowd\": \"18000\",\n      \"away_team\": \"hawthorn\"\n    },\n    {\n      \"crowd\": \"9000\",\n      \"away_team\": \"richmond\"\n    },\n    {\n      \"crowd\": \"14000\",\n      \"away_team\": \"carlton\"\n    },\n    {\n      \"crowd\": \"11000\",\n      \"away_team\": \"adelaide\"\n    },\n    {\n      \"crowd\": \"17000\",\n      \"away_team\": \"brisbane\"\n    },\n    {\n      \"crowd\": \"13000\",\n      \"away_team\": \"west_coast\"\n    }\n  ]\n}", "idx": 31223}
{"context": "CREATE TABLE table_name_27 (home_team VARCHAR, away_team VARCHAR)", "sql_query": "select home_team from table_name_27 where away_team = 'liverpool'", "question": "Which home team played in the matchup with an away team of Liverpool?", "data_table": "{\n  \"table_name_27\": [\n    {\n      \"home_team\": \"manchester united\",\n      \"away_team\": \"liverpool\"\n    },\n    {\n      \"home_team\": \"chelsea\",\n      \"away_team\": \"arsenal\"\n    },\n    {\n      \"home_team\": \"barcelona\",\n      \"away_team\": \"real madrid\"\n    },\n    {\n      \"home_team\": \"bayern munich\",\n      \"away_team\": \"borussia dortmund\"\n    },\n    {\n      \"home_team\": \"juventus\",\n      \"away_team\": \"ac milan\"\n    },\n    {\n      \"home_team\": \"paris saint-germain\",\n      \"away_team\": \"olympique marseille\"\n    },\n    {\n      \"home_team\": \"manchester city\",\n      \"away_team\": \"tottenham hotspur\"\n    },\n    {\n      \"home_team\": \"atletico madrid\",\n      \"away_team\": \"sevilla\"\n    },\n    {\n      \"home_team\": \"inter milan\",\n      \"away_team\": \"as roma\"\n    },\n    {\n      \"home_team\": \"borussia monchengladbach\",\n      \"away_team\": \"rb leipzig\"\n    }\n  ]\n}", "idx": 31224}
{"context": "CREATE TABLE table_22915134_2 (ignition_timing VARCHAR, graphical VARCHAR)", "sql_query": "select count(ignition_timing) from table_22915134_2 where graphical = '1-1-0-0-1-1-0-0-'", "question": "When 1-1-0-0-1-1-0-0- is the graphical how many ignition timings are there?", "data_table": "{\n  \"table_22915134_2\": [\n    {\n      \"ignition_timing\": \"10 degrees\",\n      \"graphical\": \"1-1-0-0-1-1-0-0-\"\n    },\n    {\n      \"ignition_timing\": \"15 degrees\",\n      \"graphical\": \"1-0-1-0-1-0-1-0-\"\n    },\n    {\n      \"ignition_timing\": \"20 degrees\",\n      \"graphical\": \"0-1-0-1-0-1-0-1-\"\n    },\n    {\n      \"ignition_timing\": \"25 degrees\",\n      \"graphical\": \"1-1-1-0-0-0-1-1-\"\n    },\n    {\n      \"ignition_timing\": \"30 degrees\",\n      \"graphical\": \"0-0-1-1-1-1-0-0-\"\n    },\n    {\n      \"ignition_timing\": \"35 degrees\",\n      \"graphical\": \"1-0-0-1-0-0-1-0-\"\n    },\n    {\n      \"ignition_timing\": \"40 degrees\",\n      \"graphical\": \"0-1-1-0-1-1-0-1-\"\n    },\n    {\n      \"ignition_timing\": \"45 degrees\",\n      \"graphical\": \"1-1-0-0-0-1-1-1-\"\n    },\n    {\n      \"ignition_timing\": \"50 degrees\",\n      \"graphical\": \"0-0-1-1-0-0-1-1-\"\n    },\n    {\n      \"ignition_timing\": \"55 degrees\",\n      \"graphical\": \"1-0-0-1-1-0-0-1-\"\n    }\n  ]\n}", "idx": 31225}
{"context": "CREATE TABLE table_name_14 (poison_klesha VARCHAR, tibetan VARCHAR)", "sql_query": "select poison_klesha from table_name_14 where tibetan = 'gti mug ma rig pa'", "question": "What is the poision/klesha word for the tibetan word gti mug ma rig pa?", "data_table": "{\n  \"table_name_14\": [\n    {\n      \"poison_klesha\": \"greed\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"anger\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"ignorance\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"attachment\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"delusion\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"aversion\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"desire\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"ignorance\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"attachment\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    },\n    {\n      \"poison_klesha\": \"aversion\",\n      \"tibetan\": \"gti mug ma rig pa\"\n    }\n  ]\n}", "idx": 31226}
{"context": "CREATE TABLE table_20010140_10 (high_assists VARCHAR, date VARCHAR)", "sql_query": "select high_assists from table_20010140_10 where date = 'february 15'", "question": "state high assists on february 15", "data_table": "{\n  \"table_20010140_10\": [\n    {\n      \"high_assists\": \"john\",\n      \"date\": \"january 1\"\n    },\n    {\n      \"high_assists\": \"sarah\",\n      \"date\": \"january 15\"\n    },\n    {\n      \"high_assists\": \"michael\",\n      \"date\": \"february 1\"\n    },\n    {\n      \"high_assists\": \"emily\",\n      \"date\": \"february 15\"\n    },\n    {\n      \"high_assists\": \"david\",\n      \"date\": \"march 1\"\n    },\n    {\n      \"high_assists\": \"jessica\",\n      \"date\": \"march 15\"\n    },\n    {\n      \"high_assists\": \"daniel\",\n      \"date\": \"april 1\"\n    },\n    {\n      \"high_assists\": \"olivia\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"high_assists\": \"matthew\",\n      \"date\": \"may 1\"\n    },\n    {\n      \"high_assists\": \"sophia\",\n      \"date\": \"may 15\"\n    }\n  ]\n}", "idx": 31227}
{"context": "CREATE TABLE table_26358264_2 (location VARCHAR, fastest_qualifying VARCHAR)", "sql_query": "select location from table_26358264_2 where fastest_qualifying = 'cancelled'", "question": "When cancelled is the fastest qualifying where is the location?", "data_table": "{\n  \"table_26358264_2\": [\n    {\n      \"location\": \"new york\",\n      \"fastest_qualifying\": \"cancelled\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"fastest_qualifying\": \"completed\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"fastest_qualifying\": \"cancelled\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"fastest_qualifying\": \"completed\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"fastest_qualifying\": \"cancelled\"\n    },\n    {\n      \"location\": \"miami\",\n      \"fastest_qualifying\": \"completed\"\n    },\n    {\n      \"location\": \"dallas\",\n      \"fastest_qualifying\": \"cancelled\"\n    },\n    {\n      \"location\": \"boston\",\n      \"fastest_qualifying\": \"completed\"\n    },\n    {\n      \"location\": \"denver\",\n      \"fastest_qualifying\": \"cancelled\"\n    },\n    {\n      \"location\": \"phoenix\",\n      \"fastest_qualifying\": \"completed\"\n    }\n  ]\n}", "idx": 31228}
{"context": "CREATE TABLE table_name_11 (year INTEGER, participation_as VARCHAR)", "sql_query": "select avg(year) from table_name_11 where participation_as = 'actor, film editor'", "question": "Participation as of actor, film editor has what average year?", "data_table": "{\n  \"table_name_11\": [\n    {\n      \"year\": 2010,\n      \"participation_as\": \"actor\"\n    },\n    {\n      \"year\": 2011,\n      \"participation_as\": \"film editor\"\n    },\n    {\n      \"year\": 2012,\n      \"participation_as\": \"actor\"\n    },\n    {\n      \"year\": 2013,\n      \"participation_as\": \"actor\"\n    },\n    {\n      \"year\": 2014,\n      \"participation_as\": \"film editor\"\n    },\n    {\n      \"year\": 2015,\n      \"participation_as\": \"actor\"\n    },\n    {\n      \"year\": 2016,\n      \"participation_as\": \"film editor\"\n    },\n    {\n      \"year\": 2017,\n      \"participation_as\": \"actor\"\n    },\n    {\n      \"year\": 2018,\n      \"participation_as\": \"film editor\"\n    },\n    {\n      \"year\": 2019,\n      \"participation_as\": \"actor\"\n    }\n  ]\n}", "idx": 31229}
{"context": "CREATE TABLE table_24565004_19 (period VARCHAR, nationality\u00b2 VARCHAR)", "sql_query": "select period from table_24565004_19 where nationality\u00b2 = 'uruguay'", "question": "Name the period for uruguay", "data_table": "{\n  \"table_24565004_19\": [\n    {\n      \"period\": \"2020\",\n      \"nationality\u00b2\": \"uruguay\"\n    },\n    {\n      \"period\": \"2019\",\n      \"nationality\u00b2\": \"brazil\"\n    },\n    {\n      \"period\": \"2018\",\n      \"nationality\u00b2\": \"argentina\"\n    },\n    {\n      \"period\": \"2017\",\n      \"nationality\u00b2\": \"uruguay\"\n    },\n    {\n      \"period\": \"2016\",\n      \"nationality\u00b2\": \"mexico\"\n    },\n    {\n      \"period\": \"2015\",\n      \"nationality\u00b2\": \"colombia\"\n    },\n    {\n      \"period\": \"2014\",\n      \"nationality\u00b2\": \"uruguay\"\n    },\n    {\n      \"period\": \"2013\",\n      \"nationality\u00b2\": \"chile\"\n    },\n    {\n      \"period\": \"2012\",\n      \"nationality\u00b2\": \"brazil\"\n    },\n    {\n      \"period\": \"2011\",\n      \"nationality\u00b2\": \"argentina\"\n    }\n  ]\n}", "idx": 31230}
{"context": "CREATE TABLE table_15315103_1 (class_aAAAA VARCHAR, school_year VARCHAR)", "sql_query": "select class_aaaaa from table_15315103_1 where school_year = '1995-96'", "question": "Who is in class during 1995-96?", "data_table": "{\n  \"table_15315103_1\": [\n    {\n      \"class_aaaaa\": \"math\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"english\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"science\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"history\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"geography\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"physics\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"chemistry\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"biology\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"art\",\n      \"school_year\": \"1995-96\"\n    },\n    {\n      \"class_aaaaa\": \"music\",\n      \"school_year\": \"1995-96\"\n    }\n  ]\n}", "idx": 31232}
{"context": "CREATE TABLE table_name_99 (surface VARCHAR, opponent VARCHAR)", "sql_query": "select surface from table_name_99 where opponent = 'oleksandra kravets'", "question": "Which Surface has an Opponent of oleksandra kravets?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"surface\": \"grass\",\n      \"opponent\": \"oleksandra kravets\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"opponent\": \"oleksandra kravets\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"opponent\": \"oleksandra kravets\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"opponent\": \"maria sharapova\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"opponent\": \"maria sharapova\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"opponent\": \"maria sharapova\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"opponent\": \"serena williams\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"opponent\": \"serena williams\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"opponent\": \"serena williams\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"opponent\": \"simona halep\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"opponent\": \"simona halep\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"opponent\": \"simona halep\"\n    }\n  ]\n}", "idx": 31234}
{"context": "CREATE TABLE table_name_83 (position VARCHAR, player VARCHAR)", "sql_query": "select position from table_name_83 where player = 'jesse boulerice'", "question": "Which position does Jesse Boulerice play?", "data_table": "{\n  \"table_name_83\": [\n    {\n      \"position\": \"forward\",\n      \"player\": \"jesse boulerice\"\n    },\n    {\n      \"position\": \"defense\",\n      \"player\": \"mike green\"\n    },\n    {\n      \"position\": \"goalie\",\n      \"player\": \"henrik lundqvist\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"alex ovechkin\"\n    },\n    {\n      \"position\": \"defense\",\n      \"player\": \"drew doughty\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"sidney crosby\"\n    },\n    {\n      \"position\": \"defense\",\n      \"player\": \"erik karlsson\"\n    },\n    {\n      \"position\": \"goalie\",\n      \"player\": \"carey price\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"steven stamkos\"\n    },\n    {\n      \"position\": \"defense\",\n      \"player\": \"victor hedman\"\n    }\n  ]\n}", "idx": 31235}
{"context": "CREATE TABLE table_14945112_1 (opponent VARCHAR, date VARCHAR)", "sql_query": "select opponent from table_14945112_1 where date = 'november 12, 1978'", "question": "Who were all of the opponents when the date was November 12, 1978?", "data_table": "{\n  \"table_14945112_1\": [\n    {\n      \"opponent\": \"team a\",\n      \"date\": \"november 12, 1978\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"date\": \"november 12, 1978\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"date\": \"november 13, 1978\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"date\": \"november 14, 1978\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"date\": \"november 15, 1978\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"date\": \"november 15, 1978\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"date\": \"november 16, 1978\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"date\": \"november 17, 1978\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"date\": \"november 18, 1978\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"date\": \"november 19, 1978\"\n    }\n  ]\n}", "idx": 31236}
{"context": "CREATE TABLE table_name_98 (siburan_padawan VARCHAR, tagalog VARCHAR)", "sql_query": "select siburan_padawan from table_name_98 where tagalog = 'kanin'", "question": "What is the Siburan-Padawan word for the Tagalog word kanin?", "data_table": "{\n  \"table_name_98\": [\n    {\n      \"siburan_padawan\": \"luke skywalker\",\n      \"tagalog\": \"kanin\"\n    },\n    {\n      \"siburan_padawan\": \"obi-wan kenobi\",\n      \"tagalog\": \"tubig\"\n    },\n    {\n      \"siburan_padawan\": \"anakin skywalker\",\n      \"tagalog\": \"kanin\"\n    },\n    {\n      \"siburan_padawan\": \"yoda\",\n      \"tagalog\": \"hangin\"\n    },\n    {\n      \"siburan_padawan\": \"mace windu\",\n      \"tagalog\": \"kanin\"\n    },\n    {\n      \"siburan_padawan\": \"qui-gon jinn\",\n      \"tagalog\": \"tubig\"\n    },\n    {\n      \"siburan_padawan\": \"ahsoka tano\",\n      \"tagalog\": \"kanin\"\n    },\n    {\n      \"siburan_padawan\": \"rey\",\n      \"tagalog\": \"hangin\"\n    },\n    {\n      \"siburan_padawan\": \"kylo ren\",\n      \"tagalog\": \"kanin\"\n    },\n    {\n      \"siburan_padawan\": \"darth vader\",\n      \"tagalog\": \"tubig\"\n    }\n  ]\n}", "idx": 31237}
{"context": "CREATE TABLE table_1266602_1 (driver_s_ VARCHAR, primary_sponsor_s_ VARCHAR)", "sql_query": "select driver_s_ from table_1266602_1 where primary_sponsor_s_ = 'quicken loans / haas automation'", "question": "What is the driver for the team whose primary sponsor is Quicken Loans / Haas Automation?", "data_table": "{\n  \"table_1266602_1\": [\n    {\n      \"driver_s_\": \"john doe\",\n      \"primary_sponsor_s_\": \"quicken loans / haas automation\"\n    },\n    {\n      \"driver_s_\": \"jane smith\",\n      \"primary_sponsor_s_\": \"coca-cola\"\n    },\n    {\n      \"driver_s_\": \"michael johnson\",\n      \"primary_sponsor_s_\": \"nike\"\n    },\n    {\n      \"driver_s_\": \"sarah thompson\",\n      \"primary_sponsor_s_\": \"pepsi\"\n    },\n    {\n      \"driver_s_\": \"robert brown\",\n      \"primary_sponsor_s_\": \"red bull\"\n    },\n    {\n      \"driver_s_\": \"emily davis\",\n      \"primary_sponsor_s_\": \"toyota\"\n    },\n    {\n      \"driver_s_\": \"david wilson\",\n      \"primary_sponsor_s_\": \"ford\"\n    },\n    {\n      \"driver_s_\": \"jessica lee\",\n      \"primary_sponsor_s_\": \"chevrolet\"\n    },\n    {\n      \"driver_s_\": \"andrew miller\",\n      \"primary_sponsor_s_\": \"mercedes-benz\"\n    },\n    {\n      \"driver_s_\": \"olivia anderson\",\n      \"primary_sponsor_s_\": \"bmw\"\n    }\n  ]\n}", "idx": 31238}
{"context": "CREATE TABLE table_name_43 (score VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_43 where date = 'may 21'", "question": "What was the score on may 21?", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"score\": \"85\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"92\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"78\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"90\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"79\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"88\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"83\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"95\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"87\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"score\": \"91\",\n      \"date\": \"may 21\"\n    }\n  ]\n}", "idx": 31239}
{"context": "CREATE TABLE table_261222_1 (area__km_2__ VARCHAR, city___municipality VARCHAR)", "sql_query": "select count(area__km_2__) from table_261222_1 where city___municipality = 'manolo fortich'", "question": "How many places are named manolo fortich?", "data_table": "{\n  \"table_261222_1\": [\n    {\n      \"area__km_2__\": \"100\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"150\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"200\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"250\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"300\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"350\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"400\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"450\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"500\",\n      \"city___municipality\": \"manolo fortich\"\n    },\n    {\n      \"area__km_2__\": \"550\",\n      \"city___municipality\": \"manolo fortich\"\n    }\n  ]\n}", "idx": 31240}
{"context": "CREATE TABLE table_name_90 (max_power_at_rpm VARCHAR, displacement VARCHAR, engine_name VARCHAR)", "sql_query": "select max_power_at_rpm from table_name_90 where displacement = '1968cc' and engine_name = '2.0 tdi'", "question": "What is the maximum power at rpm for the engine named 2.0 TDI that has a 1968cc displacement?", "data_table": "{\n  \"table_name_90\": [\n    {\n      \"max_power_at_rpm\": \"5000\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"5500\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"6000\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"4500\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"4000\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"5200\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"4800\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"5300\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"4200\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    },\n    {\n      \"max_power_at_rpm\": \"4700\",\n      \"displacement\": \"1968cc\",\n      \"engine_name\": \"2.0 tdi\"\n    }\n  ]\n}", "idx": 31241}
{"context": "CREATE TABLE table_name_14 (source VARCHAR, type VARCHAR, nat VARCHAR)", "sql_query": "select source from table_name_14 where type = 'transfer' and nat = 'mex'", "question": "WHAT IS THE SOURCE WITH A TYPE OF TRANSFER AND MEX?", "data_table": "{\n  \"table_name_14\": [\n    {\n      \"source\": \"source_1\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_2\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_3\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_4\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_5\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_6\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_7\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_8\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_9\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    },\n    {\n      \"source\": \"source_10\",\n      \"type\": \"transfer\",\n      \"nat\": \"mex\"\n    }\n  ]\n}", "idx": 31242}
{"context": "CREATE TABLE table_name_45 (country VARCHAR, margin VARCHAR, score VARCHAR)", "sql_query": "select country from table_name_45 where margin = '2 strokes' and score = '276 (-4)'", "question": "What was the country when the margin was 2 strokes, and when the score was 276 (-4)?", "data_table": "{\n  \"table_name_45\": [\n    {\n      \"country\": \"usa\",\n      \"margin\": \"2 strokes\",\n      \"score\": \"276 (-4)\"\n    },\n    {\n      \"country\": \"england\",\n      \"margin\": \"1 stroke\",\n      \"score\": \"279 (-1)\"\n    },\n    {\n      \"country\": \"australia\",\n      \"margin\": \"3 strokes\",\n      \"score\": \"280 (e)\"\n    },\n    {\n      \"country\": \"spain\",\n      \"margin\": \"2 strokes\",\n      \"score\": \"277 (-3)\"\n    },\n    {\n      \"country\": \"south africa\",\n      \"margin\": \"2 strokes\",\n      \"score\": \"275 (-5)\"\n    },\n    {\n      \"country\": \"sweden\",\n      \"margin\": \"1 stroke\",\n      \"score\": \"278 (-2)\"\n    },\n    {\n      \"country\": \"japan\",\n      \"margin\": \"4 strokes\",\n      \"score\": \"283 (+1)\"\n    },\n    {\n      \"country\": \"germany\",\n      \"margin\": \"2 strokes\",\n      \"score\": \"276 (-4)\"\n    },\n    {\n      \"country\": \"italy\",\n      \"margin\": \"3 strokes\",\n      \"score\": \"281 (+1)\"\n    },\n    {\n      \"country\": \"canada\",\n      \"margin\": \"2 strokes\",\n      \"score\": \"277 (-3)\"\n    }\n  ]\n}", "idx": 31244}
{"context": "CREATE TABLE table_28939145_2 (Literate INTEGER, taluka_name VARCHAR)", "sql_query": "select max(literate) as male from table_28939145_2 where taluka_name = 'nevasa'", "question": "How many literate males are there in the taluka name nevasa?", "data_table": "{\n  \"table_28939145_2\": [\n    {\n      \"literate\": 1234,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 5678,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 9876,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 4321,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 8765,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 1357,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 8642,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 2468,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 7531,\n      \"taluka_name\": \"nevasa\"\n    },\n    {\n      \"literate\": 9513,\n      \"taluka_name\": \"nevasa\"\n    }\n  ]\n}", "idx": 31245}
{"context": "CREATE TABLE table_1557752_1 (bleeding_time VARCHAR, condition VARCHAR)", "sql_query": "select bleeding_time from table_1557752_1 where condition = 'bernard-soulier syndrome'", "question": "What is the bleeding time in Bernard-soulier syndrome?", "data_table": "{\n  \"table_1557752_1\": [\n    {\n      \"bleeding_time\": \"5 minutes\",\n      \"condition\": \"bernard-soulier syndrome\"\n    },\n    {\n      \"bleeding_time\": \"3 minutes\",\n      \"condition\": \"hemophilia\"\n    },\n    {\n      \"bleeding_time\": \"7 minutes\",\n      \"condition\": \"von willebrand disease\"\n    },\n    {\n      \"bleeding_time\": \"4 minutes\",\n      \"condition\": \"thrombocytopenia\"\n    },\n    {\n      \"bleeding_time\": \"6 minutes\",\n      \"condition\": \"hemorrhagic fever\"\n    },\n    {\n      \"bleeding_time\": \"2 minutes\",\n      \"condition\": \"factor v deficiency\"\n    },\n    {\n      \"bleeding_time\": \"8 minutes\",\n      \"condition\": \"glanzmann thrombasthenia\"\n    },\n    {\n      \"bleeding_time\": \"9 minutes\",\n      \"condition\": \"thrombocytopathy\"\n    },\n    {\n      \"bleeding_time\": \"10 minutes\",\n      \"condition\": \"platelet function disorder\"\n    },\n    {\n      \"bleeding_time\": \"1 minute\",\n      \"condition\": \"thrombocytosis\"\n    }\n  ]\n}", "idx": 31247}
{"context": "CREATE TABLE table_21839208_4 (record VARCHAR, opponent VARCHAR)", "sql_query": "select record from table_21839208_4 where opponent = 'stampeders'", "question": "What was their record when they played the stampeders?", "data_table": "{\n  \"table_21839208_4\": [\n    {\n      \"record\": \"win\",\n      \"opponent\": \"stampeders\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"stampeders\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"lions\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"lions\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"argonauts\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"argonauts\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"eskimos\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"eskimos\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"roughriders\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"roughriders\"\n    }\n  ]\n}", "idx": 31248}
{"context": "CREATE TABLE table_name_15 (january VARCHAR, september VARCHAR)", "sql_query": "select january from table_name_15 where september = 'nikki schieler'", "question": "Who is the January playmate with a September playmate Nikki Schieler?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"january\": \"john smith\",\n      \"september\": \"nikki schieler\"\n    },\n    {\n      \"january\": \"jane doe\",\n      \"september\": \"john doe\"\n    },\n    {\n      \"january\": \"michael johnson\",\n      \"september\": \"nikki schieler\"\n    },\n    {\n      \"january\": \"emily brown\",\n      \"september\": \"john doe\"\n    },\n    {\n      \"january\": \"david wilson\",\n      \"september\": \"nikki schieler\"\n    },\n    {\n      \"january\": \"sarah davis\",\n      \"september\": \"john doe\"\n    },\n    {\n      \"january\": \"robert anderson\",\n      \"september\": \"nikki schieler\"\n    },\n    {\n      \"january\": \"jennifer martinez\",\n      \"september\": \"john doe\"\n    },\n    {\n      \"january\": \"william thompson\",\n      \"september\": \"nikki schieler\"\n    },\n    {\n      \"january\": \"jessica taylor\",\n      \"september\": \"john doe\"\n    }\n  ]\n}", "idx": 31249}
{"context": "CREATE TABLE table_14496232_2 (mixed_doubles VARCHAR, tour VARCHAR)", "sql_query": "select mixed_doubles from table_14496232_2 where tour = 'hong kong super series'", "question": "Name the mixed doubles when tour is hong kong super series", "data_table": "{\n  \"table_14496232_2\": [\n    {\n      \"mixed_doubles\": \"john doe\",\n      \"tour\": \"hong kong super series\"\n    },\n    {\n      \"mixed_doubles\": \"jane smith\",\n      \"tour\": \"hong kong super series\"\n    },\n    {\n      \"mixed_doubles\": \"michael johnson\",\n      \"tour\": \"australian open\"\n    },\n    {\n      \"mixed_doubles\": \"emily davis\",\n      \"tour\": \"australian open\"\n    },\n    {\n      \"mixed_doubles\": \"robert wilson\",\n      \"tour\": \"french open\"\n    },\n    {\n      \"mixed_doubles\": \"sophia thompson\",\n      \"tour\": \"french open\"\n    },\n    {\n      \"mixed_doubles\": \"david brown\",\n      \"tour\": \"us open\"\n    },\n    {\n      \"mixed_doubles\": \"olivia taylor\",\n      \"tour\": \"us open\"\n    },\n    {\n      \"mixed_doubles\": \"daniel anderson\",\n      \"tour\": \"wimbledon\"\n    },\n    {\n      \"mixed_doubles\": \"ava martinez\",\n      \"tour\": \"wimbledon\"\n    }\n  ]\n}", "idx": 31251}
{"context": "CREATE TABLE table_1341973_6 (result VARCHAR, incumbent VARCHAR)", "sql_query": "select result from table_1341973_6 where incumbent = 'harry r. sheppard'", "question": "What was the result of the election of the incumbent harry r. sheppard?", "data_table": "{\n  \"table_1341973_6\": [\n    {\n      \"result\": \"win\",\n      \"incumbent\": \"harry r. sheppard\"\n    },\n    {\n      \"result\": \"loss\",\n      \"incumbent\": \"john doe\"\n    },\n    {\n      \"result\": \"win\",\n      \"incumbent\": \"jane smith\"\n    },\n    {\n      \"result\": \"loss\",\n      \"incumbent\": \"michael brown\"\n    },\n    {\n      \"result\": \"win\",\n      \"incumbent\": \"sarah jones\"\n    },\n    {\n      \"result\": \"loss\",\n      \"incumbent\": \"robert wilson\"\n    },\n    {\n      \"result\": \"win\",\n      \"incumbent\": \"emily thompson\"\n    },\n    {\n      \"result\": \"loss\",\n      \"incumbent\": \"david anderson\"\n    },\n    {\n      \"result\": \"win\",\n      \"incumbent\": \"lisa johnson\"\n    },\n    {\n      \"result\": \"loss\",\n      \"incumbent\": \"steven miller\"\n    }\n  ]\n}", "idx": 31252}
{"context": "CREATE TABLE table_name_46 (rank VARCHAR, athletes VARCHAR)", "sql_query": "select rank from table_name_46 where athletes = 'manuel cortina mart\u00ednez'", "question": "What is the rank of Manuel Cortina Mart\u00ednez?", "data_table": "{\n  \"table_name_46\": [\n    {\n      \"rank\": \"1\",\n      \"athletes\": \"manuel cortina mart\u00ednez\"\n    },\n    {\n      \"rank\": \"2\",\n      \"athletes\": \"john doe\"\n    },\n    {\n      \"rank\": \"3\",\n      \"athletes\": \"jane smith\"\n    },\n    {\n      \"rank\": \"4\",\n      \"athletes\": \"michael johnson\"\n    },\n    {\n      \"rank\": \"5\",\n      \"athletes\": \"sarah thompson\"\n    },\n    {\n      \"rank\": \"6\",\n      \"athletes\": \"david brown\"\n    },\n    {\n      \"rank\": \"7\",\n      \"athletes\": \"emily wilson\"\n    },\n    {\n      \"rank\": \"8\",\n      \"athletes\": \"alexander miller\"\n    },\n    {\n      \"rank\": \"9\",\n      \"athletes\": \"olivia jones\"\n    },\n    {\n      \"rank\": \"10\",\n      \"athletes\": \"william taylor\"\n    }\n  ]\n}", "idx": 31253}
{"context": "CREATE TABLE table_name_94 (notes VARCHAR, time VARCHAR)", "sql_query": "select notes from table_name_94 where time = '6:24.21'", "question": "What are the notes with the time 6:24.21?", "data_table": "{\n  \"table_name_94\": [\n    {\n      \"notes\": \"lorem ipsum dolor sit amet\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"nulla facilisi\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"sed ut perspiciatis unde omnis iste natus error\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"ut enim ad minima veniam\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"duis aute irure dolor in reprehenderit\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"excepteur sint occaecat cupidatat non proident\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"sunt in culpa qui officia deserunt mollit anim id est laborum\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"quis autem vel eum iure reprehenderit\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"nemo enim ipsam voluptatem quia voluptas sit aspernatur\",\n      \"time\": \"6:24.21\"\n    },\n    {\n      \"notes\": \"neque porro quisquam est qui dolorem ipsum quia dolor sit amet\",\n      \"time\": \"6:24.21\"\n    }\n  ]\n}", "idx": 31254}
{"context": "CREATE TABLE users (role_code VARCHAR)", "sql_query": "select count(*), role_code from users group by role_code", "question": "Find the number of users in each role.", "data_table": "{\n  \"users\": [\n    {\n      \"role_code\": \"admin\"\n    },\n    {\n      \"role_code\": \"admin\"\n    },\n    {\n      \"role_code\": \"user\"\n    },\n    {\n      \"role_code\": \"user\"\n    },\n    {\n      \"role_code\": \"user\"\n    },\n    {\n      \"role_code\": \"guest\"\n    },\n    {\n      \"role_code\": \"guest\"\n    },\n    {\n      \"role_code\": \"guest\"\n    },\n    {\n      \"role_code\": \"guest\"\n    },\n    {\n      \"role_code\": \"guest\"\n    }\n  ]\n}", "idx": 31255}
{"context": "CREATE TABLE table_name_75 (date_of_vacancy VARCHAR, team VARCHAR)", "sql_query": "select date_of_vacancy from table_name_75 where team = 'dundee'", "question": "What is the vacancy date of Dundee?", "data_table": "{\n  \"table_name_75\": [\n    {\n      \"date_of_vacancy\": \"2021-01-01\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-02-15\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-03-10\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-04-20\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-05-05\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-06-30\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-07-18\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-08-22\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-09-12\",\n      \"team\": \"dundee\"\n    },\n    {\n      \"date_of_vacancy\": \"2021-10-25\",\n      \"team\": \"dundee\"\n    }\n  ]\n}", "idx": 31256}
{"context": "CREATE TABLE table_14423274_3 (date VARCHAR, game_site VARCHAR)", "sql_query": "select date from table_14423274_3 where game_site = 'cleveland municipal stadium'", "question": "What date did they play in Cleveland Municipal Stadium?", "data_table": "{\n  \"table_14423274_3\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"game_site\": \"cleveland municipal stadium\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"game_site\": \"cleveland municipal stadium\"\n    }\n  ]\n}", "idx": 31257}
{"context": "CREATE TABLE table_name_38 (date VARCHAR, home_team VARCHAR)", "sql_query": "select date from table_name_38 where home_team = 'fitzroy'", "question": "When did fitzroy play at home?", "data_table": "{\n  \"table_name_38\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"home_team\": \"collingwood\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"home_team\": \"essendon\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"home_team\": \"hawthorn\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"home_team\": \"geelong\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"home_team\": \"richmond\"\n    }\n  ]\n}", "idx": 31258}
{"context": "CREATE TABLE table_12002388_1 (playoffs VARCHAR, reg_season VARCHAR)", "sql_query": "select playoffs from table_12002388_1 where reg_season = '1st, southern'", "question": "What playoff result happened during the season in which they finished 1st, southern?", "data_table": "{\n  \"table_12002388_1\": [\n    {\n      \"playoffs\": \"yes\",\n      \"reg_season\": \"1st, southern\"\n    },\n    {\n      \"playoffs\": \"no\",\n      \"reg_season\": \"2nd, northern\"\n    },\n    {\n      \"playoffs\": \"yes\",\n      \"reg_season\": \"3rd, western\"\n    },\n    {\n      \"playoffs\": \"no\",\n      \"reg_season\": \"4th, eastern\"\n    },\n    {\n      \"playoffs\": \"yes\",\n      \"reg_season\": \"5th, central\"\n    },\n    {\n      \"playoffs\": \"no\",\n      \"reg_season\": \"6th, southern\"\n    },\n    {\n      \"playoffs\": \"yes\",\n      \"reg_season\": \"7th, northern\"\n    },\n    {\n      \"playoffs\": \"no\",\n      \"reg_season\": \"8th, western\"\n    },\n    {\n      \"playoffs\": \"yes\",\n      \"reg_season\": \"9th, eastern\"\n    },\n    {\n      \"playoffs\": \"no\",\n      \"reg_season\": \"10th, central\"\n    }\n  ]\n}", "idx": 31259}
{"context": "CREATE TABLE table_name_97 (diameter__km_ INTEGER, name VARCHAR)", "sql_query": "select min(diameter__km_) from table_name_97 where name = 'eirene tholus'", "question": "What is the smallest diameter for Eirene Tholus?", "data_table": "{\n  \"table_name_97\": [\n    {\n      \"diameter__km_\": 10,\n      \"name\": \"eirene tholus\"\n    },\n    {\n      \"diameter__km_\": 15,\n      \"name\": \"vesta\"\n    },\n    {\n      \"diameter__km_\": 20,\n      \"name\": \"eirene tholus\"\n    },\n    {\n      \"diameter__km_\": 25,\n      \"name\": \"ceres\"\n    },\n    {\n      \"diameter__km_\": 30,\n      \"name\": \"eirene tholus\"\n    },\n    {\n      \"diameter__km_\": 35,\n      \"name\": \"vesta\"\n    },\n    {\n      \"diameter__km_\": 40,\n      \"name\": \"ceres\"\n    },\n    {\n      \"diameter__km_\": 45,\n      \"name\": \"eirene tholus\"\n    },\n    {\n      \"diameter__km_\": 50,\n      \"name\": \"vesta\"\n    },\n    {\n      \"diameter__km_\": 55,\n      \"name\": \"ceres\"\n    }\n  ]\n}", "idx": 31260}
{"context": "CREATE TABLE table_name_77 (points VARCHAR, time_retired VARCHAR)", "sql_query": "select count(points) from table_name_77 where time_retired = '+10.131 secs'", "question": "How many points are associated with a Time/Retired of +10.131 secs?", "data_table": "{\n  \"table_name_77\": [\n    {\n      \"points\": \"10\",\n      \"time_retired\": \"+10.131 secs\"\n    },\n    {\n      \"points\": \"5\",\n      \"time_retired\": \"+10.131 secs\"\n    },\n    {\n      \"points\": \"8\",\n      \"time_retired\": \"+5.432 secs\"\n    },\n    {\n      \"points\": \"3\",\n      \"time_retired\": \"+5.432 secs\"\n    },\n    {\n      \"points\": \"7\",\n      \"time_retired\": \"+2.987 secs\"\n    },\n    {\n      \"points\": \"2\",\n      \"time_retired\": \"+2.987 secs\"\n    },\n    {\n      \"points\": \"6\",\n      \"time_retired\": \"+7.654 secs\"\n    },\n    {\n      \"points\": \"4\",\n      \"time_retired\": \"+7.654 secs\"\n    },\n    {\n      \"points\": \"9\",\n      \"time_retired\": \"+3.210 secs\"\n    },\n    {\n      \"points\": \"1\",\n      \"time_retired\": \"+3.210 secs\"\n    }\n  ]\n}", "idx": 31261}
{"context": "CREATE TABLE table_2897457_5 (nationality VARCHAR, player VARCHAR)", "sql_query": "select nationality from table_2897457_5 where player = 'keith carney'", "question": "What nationality is keith carney?", "data_table": "{\n  \"table_2897457_5\": [\n    {\n      \"nationality\": \"usa\",\n      \"player\": \"keith carney\"\n    },\n    {\n      \"nationality\": \"canada\",\n      \"player\": \"joe thornton\"\n    },\n    {\n      \"nationality\": \"sweden\",\n      \"player\": \"henrik lundqvist\"\n    },\n    {\n      \"nationality\": \"russia\",\n      \"player\": \"alex ovechkin\"\n    },\n    {\n      \"nationality\": \"finland\",\n      \"player\": \"teemu selanne\"\n    },\n    {\n      \"nationality\": \"czech republic\",\n      \"player\": \"jaromir jagr\"\n    },\n    {\n      \"nationality\": \"slovakia\",\n      \"player\": \"zdeno chara\"\n    },\n    {\n      \"nationality\": \"switzerland\",\n      \"player\": \"roman josi\"\n    },\n    {\n      \"nationality\": \"germany\",\n      \"player\": \"leon draisaitl\"\n    },\n    {\n      \"nationality\": \"austria\",\n      \"player\": \"thomas vanek\"\n    }\n  ]\n}", "idx": 31262}
{"context": "CREATE TABLE table_name_74 (date VARCHAR, event VARCHAR, acts VARCHAR)", "sql_query": "select date from table_name_74 where event = 'monsters of rock' and acts = '12 bands'", "question": "When is the Monsters of Rock show with 12 bands?", "data_table": "{\n  \"table_name_74\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"event\": \"monsters of rock\",\n      \"acts\": \"12 bands\"\n    },\n    {\n      \"date\": \"2022-02-14\",\n      \"event\": \"rock festival\",\n      \"acts\": \"8 bands\"\n    },\n    {\n      \"date\": \"2022-03-20\",\n      \"event\": \"music showcase\",\n      \"acts\": \"5 bands\"\n    },\n    {\n      \"date\": \"2022-04-05\",\n      \"event\": \"concert series\",\n      \"acts\": \"10 bands\"\n    },\n    {\n      \"date\": \"2022-05-12\",\n      \"event\": \"live performance\",\n      \"acts\": \"7 bands\"\n    },\n    {\n      \"date\": \"2022-06-30\",\n      \"event\": \"music festival\",\n      \"acts\": \"15 bands\"\n    },\n    {\n      \"date\": \"2022-07-18\",\n      \"event\": \"rock concert\",\n      \"acts\": \"9 bands\"\n    },\n    {\n      \"date\": \"2022-08-22\",\n      \"event\": \"jam session\",\n      \"acts\": \"6 bands\"\n    },\n    {\n      \"date\": \"2022-09-10\",\n      \"event\": \"acoustic night\",\n      \"acts\": \"4 bands\"\n    },\n    {\n      \"date\": \"2022-10-27\",\n      \"event\": \"battle of the bands\",\n      \"acts\": \"11 bands\"\n    }\n  ]\n}", "idx": 31263}
{"context": "CREATE TABLE table_name_34 (gecko VARCHAR, trident VARCHAR)", "sql_query": "select gecko from table_name_34 where trident = 'font'", "question": "What is the Gecko value for the item that has a Trident value of 'font'?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"gecko\": \"firefox\",\n      \"trident\": \"engine\"\n    },\n    {\n      \"gecko\": \"chrome\",\n      \"trident\": \"layout\"\n    },\n    {\n      \"gecko\": \"safari\",\n      \"trident\": \"rendering\"\n    },\n    {\n      \"gecko\": \"edge\",\n      \"trident\": \"font\"\n    },\n    {\n      \"gecko\": \"opera\",\n      \"trident\": \"scripting\"\n    },\n    {\n      \"gecko\": \"internet explorer\",\n      \"trident\": \"font\"\n    },\n    {\n      \"gecko\": \"brave\",\n      \"trident\": \"parsing\"\n    },\n    {\n      \"gecko\": \"vivaldi\",\n      \"trident\": \"font\"\n    },\n    {\n      \"gecko\": \"mozilla\",\n      \"trident\": \"styling\"\n    },\n    {\n      \"gecko\": \"netscape\",\n      \"trident\": \"font\"\n    }\n  ]\n}", "idx": 31264}
{"context": "CREATE TABLE table_27378582_1 (founded INTEGER, nickname VARCHAR)", "sql_query": "select max(founded) from table_27378582_1 where nickname = 'bison'", "question": "Name the most founded for bison", "data_table": "{\n  \"table_27378582_1\": [\n    {\n      \"founded\": 2005,\n      \"nickname\": \"bison\"\n    },\n    {\n      \"founded\": 1998,\n      \"nickname\": \"lion\"\n    },\n    {\n      \"founded\": 2010,\n      \"nickname\": \"tiger\"\n    },\n    {\n      \"founded\": 2003,\n      \"nickname\": \"elephant\"\n    },\n    {\n      \"founded\": 2008,\n      \"nickname\": \"bison\"\n    },\n    {\n      \"founded\": 2001,\n      \"nickname\": \"giraffe\"\n    },\n    {\n      \"founded\": 2007,\n      \"nickname\": \"bison\"\n    },\n    {\n      \"founded\": 2009,\n      \"nickname\": \"lion\"\n    },\n    {\n      \"founded\": 2004,\n      \"nickname\": \"tiger\"\n    },\n    {\n      \"founded\": 2006,\n      \"nickname\": \"elephant\"\n    }\n  ]\n}", "idx": 31266}
{"context": "CREATE TABLE table_name_52 (studio_analysts VARCHAR, ice_level_reporters VARCHAR)", "sql_query": "select studio_analysts from table_name_52 where ice_level_reporters = 'scott oake'", "question": "Which studio analyst has Scott Oake for the ice level reporter?", "data_table": "{\n  \"table_name_52\": [\n    {\n      \"studio_analysts\": \"john smith\",\n      \"ice_level_reporters\": \"scott oake\"\n    },\n    {\n      \"studio_analysts\": \"jane doe\",\n      \"ice_level_reporters\": \"scott oake\"\n    },\n    {\n      \"studio_analysts\": \"mike johnson\",\n      \"ice_level_reporters\": \"john shannon\"\n    },\n    {\n      \"studio_analysts\": \"chris johnston\",\n      \"ice_level_reporters\": \"elliotte friedman\"\n    },\n    {\n      \"studio_analysts\": \"jennifer roberts\",\n      \"ice_level_reporters\": \"david amber\"\n    },\n    {\n      \"studio_analysts\": \"mark thompson\",\n      \"ice_level_reporters\": \"cassie campbell\"\n    },\n    {\n      \"studio_analysts\": \"sarah wilson\",\n      \"ice_level_reporters\": \"christine simpson\"\n    },\n    {\n      \"studio_analysts\": \"alex turner\",\n      \"ice_level_reporters\": \"kyle bukauskas\"\n    },\n    {\n      \"studio_analysts\": \"emily davis\",\n      \"ice_level_reporters\": \"tara slone\"\n    },\n    {\n      \"studio_analysts\": \"ryan miller\",\n      \"ice_level_reporters\": \"haley irwin\"\n    }\n  ]\n}", "idx": 31268}
{"context": "CREATE TABLE table_name_13 (edition INTEGER, winner VARCHAR, third VARCHAR)", "sql_query": "select min(edition) from table_name_13 where winner = 'arsenal' and third = 'celtic'", "question": "Tell me the lowest edition for winner of arsenal and third of celtic", "data_table": "{\n  \"table_name_13\": [\n    {\n      \"edition\": 2010,\n      \"winner\": \"manchester united\",\n      \"third\": \"chelsea\"\n    },\n    {\n      \"edition\": 2011,\n      \"winner\": \"barcelona\",\n      \"third\": \"real madrid\"\n    },\n    {\n      \"edition\": 2012,\n      \"winner\": \"bayern munich\",\n      \"third\": \"borussia dortmund\"\n    },\n    {\n      \"edition\": 2013,\n      \"winner\": \"real madrid\",\n      \"third\": \"atletico madrid\"\n    },\n    {\n      \"edition\": 2014,\n      \"winner\": \"barcelona\",\n      \"third\": \"juventus\"\n    },\n    {\n      \"edition\": 2015,\n      \"winner\": \"real madrid\",\n      \"third\": \"manchester city\"\n    },\n    {\n      \"edition\": 2016,\n      \"winner\": \"real madrid\",\n      \"third\": \"atletico madrid\"\n    },\n    {\n      \"edition\": 2017,\n      \"winner\": \"real madrid\",\n      \"third\": \"juventus\"\n    },\n    {\n      \"edition\": 2018,\n      \"winner\": \"liverpool\",\n      \"third\": \"roma\"\n    },\n    {\n      \"edition\": 2019,\n      \"winner\": \"liverpool\",\n      \"third\": \"tottenham hotspur\"\n    }\n  ]\n}", "idx": 31271}
{"context": "CREATE TABLE table_name_89 (last_win VARCHAR, club VARCHAR)", "sql_query": "select last_win from table_name_89 where club = 'celtic'", "question": "When was the last win of Celtic?", "data_table": "{\n  \"table_name_89\": [\n    {\n      \"last_win\": \"2019\",\n      \"club\": \"celtic\"\n    },\n    {\n      \"last_win\": \"2018\",\n      \"club\": \"rangers\"\n    },\n    {\n      \"last_win\": \"2017\",\n      \"club\": \"aberdeen\"\n    },\n    {\n      \"last_win\": \"2016\",\n      \"club\": \"hearts\"\n    },\n    {\n      \"last_win\": \"2015\",\n      \"club\": \"hibernian\"\n    },\n    {\n      \"last_win\": \"2014\",\n      \"club\": \"motherwell\"\n    },\n    {\n      \"last_win\": \"2013\",\n      \"club\": \"dundee united\"\n    },\n    {\n      \"last_win\": \"2012\",\n      \"club\": \"kilmarnock\"\n    },\n    {\n      \"last_win\": \"2011\",\n      \"club\": \"st. johnstone\"\n    },\n    {\n      \"last_win\": \"2010\",\n      \"club\": \"inverness\"\n    }\n  ]\n}", "idx": 31272}
{"context": "CREATE TABLE table_2009095_2 (championship VARCHAR, outcome VARCHAR, opponents VARCHAR)", "sql_query": "select count(championship) from table_2009095_2 where outcome = 'winner' and opponents = 'judy tegart dalton lesley turner bowrey'", "question": "Name the championship for winner and judy tegart dalton lesley turner bowrey", "data_table": "{\n  \"table_2009095_2\": [\n    {\n      \"championship\": \"wimbledon\",\n      \"outcome\": \"winner\",\n      \"opponents\": \"judy tegart dalton lesley turner bowrey\"\n    },\n    {\n      \"championship\": \"us open\",\n      \"outcome\": \"runner-up\",\n      \"opponents\": \"billie jean king\"\n    },\n    {\n      \"championship\": \"french open\",\n      \"outcome\": \"winner\",\n      \"opponents\": \"maria bueno\"\n    },\n    {\n      \"championship\": \"australian open\",\n      \"outcome\": \"runner-up\",\n      \"opponents\": \"margaret court\"\n    },\n    {\n      \"championship\": \"wimbledon\",\n      \"outcome\": \"winner\",\n      \"opponents\": \"evonne goolagong cawley\"\n    },\n    {\n      \"championship\": \"us open\",\n      \"outcome\": \"runner-up\",\n      \"opponents\": \"chris evert\"\n    },\n    {\n      \"championship\": \"french open\",\n      \"outcome\": \"winner\",\n      \"opponents\": \"virginia wade\"\n    },\n    {\n      \"championship\": \"australian open\",\n      \"outcome\": \"runner-up\",\n      \"opponents\": \"evonne goolagong cawley\"\n    },\n    {\n      \"championship\": \"wimbledon\",\n      \"outcome\": \"winner\",\n      \"opponents\": \"margaret court\"\n    },\n    {\n      \"championship\": \"us open\",\n      \"outcome\": \"runner-up\",\n      \"opponents\": \"evonne goolagong cawley\"\n    }\n  ]\n}", "idx": 31273}
{"context": "CREATE TABLE table_2076463_2 (school VARCHAR, location_s_ VARCHAR)", "sql_query": "select school from table_2076463_2 where location_s_ = 'kirksville'", "question": "Which school would you come across if you were in Kirksville?", "data_table": "{\n  \"table_2076463_2\": [\n    {\n      \"school\": \"university of missouri\",\n      \"location_s_\": \"columbia\"\n    },\n    {\n      \"school\": \"truman state university\",\n      \"location_s_\": \"kirksville\"\n    },\n    {\n      \"school\": \"washington university in st. louis\",\n      \"location_s_\": \"st. louis\"\n    },\n    {\n      \"school\": \"university of kansas\",\n      \"location_s_\": \"lawrence\"\n    },\n    {\n      \"school\": \"university of iowa\",\n      \"location_s_\": \"iowa city\"\n    },\n    {\n      \"school\": \"university of nebraska-lincoln\",\n      \"location_s_\": \"lincoln\"\n    },\n    {\n      \"school\": \"university of arkansas\",\n      \"location_s_\": \"fayetteville\"\n    },\n    {\n      \"school\": \"university of oklahoma\",\n      \"location_s_\": \"norman\"\n    },\n    {\n      \"school\": \"university of texas at austin\",\n      \"location_s_\": \"austin\"\n    },\n    {\n      \"school\": \"university of colorado boulder\",\n      \"location_s_\": \"boulder\"\n    }\n  ]\n}", "idx": 31274}
{"context": "CREATE TABLE table_19864214_3 (no_decisions INTEGER, pitcher VARCHAR)", "sql_query": "select min(no_decisions) from table_19864214_3 where pitcher = 'scott feldman category:articles with hcards'", "question": "what is the least number of no decisions for scott feldman category:articles with hcards", "data_table": "{\n  \"table_19864214_3\": [\n    {\n      \"no_decisions\": 2,\n      \"pitcher\": \"scott feldman category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 4,\n      \"pitcher\": \"jake arrieta category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 1,\n      \"pitcher\": \"max scherzer category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 3,\n      \"pitcher\": \"clayton kershaw category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 5,\n      \"pitcher\": \"justin verlander category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 2,\n      \"pitcher\": \"madison bumgarner category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 3,\n      \"pitcher\": \"corey kluber category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 1,\n      \"pitcher\": \"chris sale category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 4,\n      \"pitcher\": \"zack greinke category:articles with hcards\"\n    },\n    {\n      \"no_decisions\": 5,\n      \"pitcher\": \"david price category:articles with hcards\"\n    }\n  ]\n}", "idx": 31275}
{"context": "CREATE TABLE table_name_42 (record VARCHAR, game VARCHAR)", "sql_query": "select record from table_name_42 where game = '8'", "question": "What is the record for Game 8?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"record\": \"john\",\n      \"game\": \"8\"\n    },\n    {\n      \"record\": \"sarah\",\n      \"game\": \"8\"\n    },\n    {\n      \"record\": \"michael\",\n      \"game\": \"5\"\n    },\n    {\n      \"record\": \"emily\",\n      \"game\": \"3\"\n    },\n    {\n      \"record\": \"david\",\n      \"game\": \"8\"\n    },\n    {\n      \"record\": \"jessica\",\n      \"game\": \"2\"\n    },\n    {\n      \"record\": \"daniel\",\n      \"game\": \"4\"\n    },\n    {\n      \"record\": \"olivia\",\n      \"game\": \"8\"\n    },\n    {\n      \"record\": \"matthew\",\n      \"game\": \"1\"\n    },\n    {\n      \"record\": \"sophia\",\n      \"game\": \"8\"\n    }\n  ]\n}", "idx": 31276}
{"context": "CREATE TABLE singer (name VARCHAR, country VARCHAR, age VARCHAR)", "sql_query": "select name, country, age from singer order by age desc", "question": "Show name, country, age for all singers ordered by age from the oldest to the youngest.", "data_table": "{\n  \"singer\": [\n    {\n      \"name\": \"john\",\n      \"country\": \"usa\",\n      \"age\": \"25\"\n    },\n    {\n      \"name\": \"emily\",\n      \"country\": \"canada\",\n      \"age\": \"30\"\n    },\n    {\n      \"name\": \"michael\",\n      \"country\": \"uk\",\n      \"age\": \"28\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"country\": \"australia\",\n      \"age\": \"22\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"country\": \"germany\",\n      \"age\": \"35\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"country\": \"usa\",\n      \"age\": \"27\"\n    },\n    {\n      \"name\": \"liam\",\n      \"country\": \"canada\",\n      \"age\": \"29\"\n    },\n    {\n      \"name\": \"isabella\",\n      \"country\": \"uk\",\n      \"age\": \"24\"\n    },\n    {\n      \"name\": \"ethan\",\n      \"country\": \"australia\",\n      \"age\": \"31\"\n    },\n    {\n      \"name\": \"ava\",\n      \"country\": \"germany\",\n      \"age\": \"26\"\n    }\n  ]\n}", "idx": 31277}
{"context": "CREATE TABLE table_name_59 (party VARCHAR, name VARCHAR)", "sql_query": "select party from table_name_59 where name = 'richard simpson'", "question": "What is the party of Richard Simpson?", "data_table": "{\n  \"table_name_59\": [\n    {\n      \"party\": \"democratic\",\n      \"name\": \"richard simpson\"\n    },\n    {\n      \"party\": \"republican\",\n      \"name\": \"john smith\"\n    },\n    {\n      \"party\": \"independent\",\n      \"name\": \"emily johnson\"\n    },\n    {\n      \"party\": \"green\",\n      \"name\": \"michael brown\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"name\": \"sarah davis\"\n    },\n    {\n      \"party\": \"democratic\",\n      \"name\": \"david wilson\"\n    },\n    {\n      \"party\": \"republican\",\n      \"name\": \"jennifer thompson\"\n    },\n    {\n      \"party\": \"independent\",\n      \"name\": \"daniel anderson\"\n    },\n    {\n      \"party\": \"green\",\n      \"name\": \"jessica martinez\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"name\": \"christopher taylor\"\n    }\n  ]\n}", "idx": 31278}
{"context": "CREATE TABLE table_name_60 (round INTEGER, school VARCHAR)", "sql_query": "select max(round) from table_name_60 where school = 'washington state university'", "question": "What is the highest round that has a draftee from Washington State University?", "data_table": "{\n  \"table_name_60\": [\n    {\n      \"round\": 1,\n      \"school\": \"washington state university\"\n    },\n    {\n      \"round\": 2,\n      \"school\": \"university of washington\"\n    },\n    {\n      \"round\": 3,\n      \"school\": \"stanford university\"\n    },\n    {\n      \"round\": 4,\n      \"school\": \"harvard university\"\n    },\n    {\n      \"round\": 5,\n      \"school\": \"massachusetts institute of technology\"\n    },\n    {\n      \"round\": 6,\n      \"school\": \"princeton university\"\n    },\n    {\n      \"round\": 7,\n      \"school\": \"yale university\"\n    },\n    {\n      \"round\": 8,\n      \"school\": \"columbia university\"\n    },\n    {\n      \"round\": 9,\n      \"school\": \"university of california, berkeley\"\n    },\n    {\n      \"round\": 10,\n      \"school\": \"cornell university\"\n    }\n  ]\n}", "idx": 31279}
{"context": "CREATE TABLE table_name_34 (status VARCHAR, date VARCHAR)", "sql_query": "select status from table_name_34 where date = '19/05/1981'", "question": "Which Status has a Date of 19/05/1981?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"status\": \"active\",\n      \"date\": \"19/05/1981\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"date\": \"20/06/1990\"\n    },\n    {\n      \"status\": \"active\",\n      \"date\": \"15/09/2005\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"date\": \"03/04/2012\"\n    },\n    {\n      \"status\": \"active\",\n      \"date\": \"10/11/2017\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"date\": \"22/08/1998\"\n    },\n    {\n      \"status\": \"active\",\n      \"date\": \"07/03/2007\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"date\": \"14/12/2014\"\n    },\n    {\n      \"status\": \"active\",\n      \"date\": \"29/01/1995\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"date\": \"06/08/2019\"\n    }\n  ]\n}", "idx": 31280}
{"context": "CREATE TABLE table_name_71 (team VARCHAR, fans_took VARCHAR)", "sql_query": "select team from table_name_71 where fans_took = '288'", "question": "Which team had fans took of 288?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"team\": \"manchester united\",\n      \"fans_took\": \"288\"\n    },\n    {\n      \"team\": \"liverpool\",\n      \"fans_took\": \"288\"\n    },\n    {\n      \"team\": \"real madrid\",\n      \"fans_took\": \"100\"\n    },\n    {\n      \"team\": \"barcelona\",\n      \"fans_took\": \"200\"\n    },\n    {\n      \"team\": \"bayern munich\",\n      \"fans_took\": \"150\"\n    },\n    {\n      \"team\": \"juventus\",\n      \"fans_took\": \"288\"\n    },\n    {\n      \"team\": \"paris saint-germain\",\n      \"fans_took\": \"100\"\n    },\n    {\n      \"team\": \"manchester city\",\n      \"fans_took\": \"200\"\n    },\n    {\n      \"team\": \"chelsea\",\n      \"fans_took\": \"150\"\n    },\n    {\n      \"team\": \"arsenal\",\n      \"fans_took\": \"288\"\n    }\n  ]\n}", "idx": 31281}
{"context": "CREATE TABLE table_name_63 (weight VARCHAR, born VARCHAR)", "sql_query": "select weight from table_name_63 where born = '1980'", "question": "What is the weight of the person born in 1980?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"weight\": \"150\",\n      \"born\": \"1980\"\n    },\n    {\n      \"weight\": \"180\",\n      \"born\": \"1980\"\n    },\n    {\n      \"weight\": \"135\",\n      \"born\": \"1990\"\n    },\n    {\n      \"weight\": \"165\",\n      \"born\": \"1990\"\n    },\n    {\n      \"weight\": \"140\",\n      \"born\": \"2000\"\n    },\n    {\n      \"weight\": \"170\",\n      \"born\": \"2000\"\n    },\n    {\n      \"weight\": \"155\",\n      \"born\": \"2010\"\n    },\n    {\n      \"weight\": \"185\",\n      \"born\": \"2010\"\n    },\n    {\n      \"weight\": \"130\",\n      \"born\": \"2020\"\n    },\n    {\n      \"weight\": \"160\",\n      \"born\": \"2020\"\n    }\n  ]\n}", "idx": 31282}
{"context": "CREATE TABLE table_name_28 (away_team VARCHAR, venue VARCHAR)", "sql_query": "select away_team from table_name_28 where venue = 'lake oval'", "question": "What is the away team at lake oval?", "data_table": "{\n  \"table_name_28\": [\n    {\n      \"away_team\": \"team a\",\n      \"venue\": \"lake oval\"\n    },\n    {\n      \"away_team\": \"team b\",\n      \"venue\": \"lake oval\"\n    },\n    {\n      \"away_team\": \"team c\",\n      \"venue\": \"stadium\"\n    },\n    {\n      \"away_team\": \"team d\",\n      \"venue\": \"stadium\"\n    },\n    {\n      \"away_team\": \"team e\",\n      \"venue\": \"park\"\n    },\n    {\n      \"away_team\": \"team f\",\n      \"venue\": \"park\"\n    },\n    {\n      \"away_team\": \"team g\",\n      \"venue\": \"field\"\n    },\n    {\n      \"away_team\": \"team h\",\n      \"venue\": \"field\"\n    },\n    {\n      \"away_team\": \"team i\",\n      \"venue\": \"arena\"\n    },\n    {\n      \"away_team\": \"team j\",\n      \"venue\": \"arena\"\n    }\n  ]\n}", "idx": 31283}
{"context": "CREATE TABLE table_3002894_4 (sonnet VARCHAR, model VARCHAR)", "sql_query": "select sonnet from table_3002894_4 where model = 'included ram (mib)'", "question": "When included ram (mib) is the model what is the sonnet?", "data_table": "{\n  \"table_3002894_4\": [\n    {\n      \"sonnet\": \"shall i compare thee to a summer's day?\",\n      \"model\": \"included ram (mib)\"\n    },\n    {\n      \"sonnet\": \"when, in disgrace with fortune and men's eyes\",\n      \"model\": \"excluded ram (mib)\"\n    },\n    {\n      \"sonnet\": \"let me not to the marriage of true minds\",\n      \"model\": \"included ram (mib)\"\n    },\n    {\n      \"sonnet\": \"that time of year thou mayst in me behold\",\n      \"model\": \"excluded ram (mib)\"\n    },\n    {\n      \"sonnet\": \"when to the sessions of sweet silent thought\",\n      \"model\": \"included ram (mib)\"\n    },\n    {\n      \"sonnet\": \"my mistress' eyes are nothing like the sun\",\n      \"model\": \"excluded ram (mib)\"\n    },\n    {\n      \"sonnet\": \"thou art more lovely and more temperate\",\n      \"model\": \"included ram (mib)\"\n    },\n    {\n      \"sonnet\": \"not marble nor the gilded monuments\",\n      \"model\": \"excluded ram (mib)\"\n    },\n    {\n      \"sonnet\": \"devouring time, blunt thou the lion's paws\",\n      \"model\": \"included ram (mib)\"\n    },\n    {\n      \"sonnet\": \"when, in disgrace with fortune and men's eyes\",\n      \"model\": \"excluded ram (mib)\"\n    }\n  ]\n}", "idx": 31284}
{"context": "CREATE TABLE table_24431264_18 (points INTEGER, player VARCHAR)", "sql_query": "select max(points) as defending from table_24431264_18 where player = 'radek \u0161t\u011bp\u00e1nek'", "question": "How many defending points did  radek \u0161t\u011bp\u00e1nek have?", "data_table": "{\n  \"table_24431264_18\": [\n    {\n      \"points\": 10,\n      \"player\": \"john doe\"\n    },\n    {\n      \"points\": 15,\n      \"player\": \"jane smith\"\n    },\n    {\n      \"points\": 8,\n      \"player\": \"michael johnson\"\n    },\n    {\n      \"points\": 12,\n      \"player\": \"emily davis\"\n    },\n    {\n      \"points\": 9,\n      \"player\": \"robert anderson\"\n    },\n    {\n      \"points\": 14,\n      \"player\": \"sarah thompson\"\n    },\n    {\n      \"points\": 11,\n      \"player\": \"david wilson\"\n    },\n    {\n      \"points\": 13,\n      \"player\": \"olivia brown\"\n    },\n    {\n      \"points\": 7,\n      \"player\": \"daniel taylor\"\n    },\n    {\n      \"points\": 16,\n      \"player\": \"sophia martinez\"\n    }\n  ]\n}", "idx": 31285}
{"context": "CREATE TABLE table_14058433_3 (try_bonus VARCHAR, club VARCHAR)", "sql_query": "select try_bonus from table_14058433_3 where club = 'ruthin rfc'", "question": "What is the try bonus for Ruthin RFC?", "data_table": "{\n  \"table_14058433_3\": [\n    {\n      \"try_bonus\": \"5\",\n      \"club\": \"ruthin rfc\"\n    },\n    {\n      \"try_bonus\": \"3\",\n      \"club\": \"ruthin rfc\"\n    },\n    {\n      \"try_bonus\": \"2\",\n      \"club\": \"ruthin rfc\"\n    },\n    {\n      \"try_bonus\": \"4\",\n      \"club\": \"ruthin rfc\"\n    },\n    {\n      \"try_bonus\": \"1\",\n      \"club\": \"ruthin rfc\"\n    },\n    {\n      \"try_bonus\": \"2\",\n      \"club\": \"aberavon rfc\"\n    },\n    {\n      \"try_bonus\": \"3\",\n      \"club\": \"aberavon rfc\"\n    },\n    {\n      \"try_bonus\": \"4\",\n      \"club\": \"aberavon rfc\"\n    },\n    {\n      \"try_bonus\": \"1\",\n      \"club\": \"aberavon rfc\"\n    },\n    {\n      \"try_bonus\": \"5\",\n      \"club\": \"aberavon rfc\"\n    }\n  ]\n}", "idx": 31286}
{"context": "CREATE TABLE table_1341865_44 (incumbent VARCHAR, district VARCHAR)", "sql_query": "select incumbent from table_1341865_44 where district = 'tennessee 5'", "question": "what's\u00a0incumbent\u00a0with\u00a0district being tennessee 5", "data_table": "{\n  \"table_1341865_44\": [\n    {\n      \"incumbent\": \"john smith\",\n      \"district\": \"tennessee 5\"\n    },\n    {\n      \"incumbent\": \"jane doe\",\n      \"district\": \"tennessee 5\"\n    },\n    {\n      \"incumbent\": \"michael johnson\",\n      \"district\": \"tennessee 3\"\n    },\n    {\n      \"incumbent\": \"emily brown\",\n      \"district\": \"tennessee 7\"\n    },\n    {\n      \"incumbent\": \"david wilson\",\n      \"district\": \"tennessee 2\"\n    },\n    {\n      \"incumbent\": \"sarah davis\",\n      \"district\": \"tennessee 5\"\n    },\n    {\n      \"incumbent\": \"robert thompson\",\n      \"district\": \"tennessee 1\"\n    },\n    {\n      \"incumbent\": \"jennifer lee\",\n      \"district\": \"tennessee 5\"\n    },\n    {\n      \"incumbent\": \"christopher harris\",\n      \"district\": \"tennessee 4\"\n    },\n    {\n      \"incumbent\": \"amanda martinez\",\n      \"district\": \"tennessee 5\"\n    }\n  ]\n}", "idx": 31287}
{"context": "CREATE TABLE table_29615165_5 (_percentage_40_59_years VARCHAR, quartier VARCHAR)", "sql_query": "select _percentage_40_59_years from table_29615165_5 where quartier = 'menpenti'", "question": "the quartier menpenti has how many 40-59 year olds?", "data_table": "{\n  \"table_29615165_5\": [\n    {\n      \"_percentage_40_59_years\": \"45%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"52%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"58%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"42%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"47%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"55%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"49%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"43%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"51%\",\n      \"quartier\": \"menpenti\"\n    },\n    {\n      \"_percentage_40_59_years\": \"57%\",\n      \"quartier\": \"menpenti\"\n    }\n  ]\n}", "idx": 31288}
{"context": "CREATE TABLE table_name_29 (crowd VARCHAR, home_team VARCHAR)", "sql_query": "select count(crowd) from table_name_29 where home_team = 'fitzroy'", "question": "What is the size of the crowd when the home team is Fitzroy?", "data_table": "{\n  \"table_name_29\": [\n    {\n      \"crowd\": \"10000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"15000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"20000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"12000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"18000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"9000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"13000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"17000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"11000\",\n      \"home_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"16000\",\n      \"home_team\": \"fitzroy\"\n    }\n  ]\n}", "idx": 31289}
{"context": "CREATE TABLE table_name_13 (copaxone VARCHAR, mitoxantrone VARCHAR, betaseron__beta_1b_ VARCHAR)", "sql_query": "select copaxone from table_name_13 where mitoxantrone = 'no' and betaseron__beta_1b_ = 'no'", "question": "Name the copaxone with mitoxantrone of no and betaseron (beta-1b) of no", "data_table": "{\n  \"table_name_13\": [\n    {\n      \"copaxone\": \"value1\",\n      \"mitoxantrone\": \"yes\",\n      \"betaseron__beta_1b_\": \"no\"\n    },\n    {\n      \"copaxone\": \"value2\",\n      \"mitoxantrone\": \"no\",\n      \"betaseron__beta_1b_\": \"no\"\n    },\n    {\n      \"copaxone\": \"value3\",\n      \"mitoxantrone\": \"yes\",\n      \"betaseron__beta_1b_\": \"yes\"\n    },\n    {\n      \"copaxone\": \"value4\",\n      \"mitoxantrone\": \"no\",\n      \"betaseron__beta_1b_\": \"yes\"\n    },\n    {\n      \"copaxone\": \"value5\",\n      \"mitoxantrone\": \"yes\",\n      \"betaseron__beta_1b_\": \"no\"\n    },\n    {\n      \"copaxone\": \"value6\",\n      \"mitoxantrone\": \"no\",\n      \"betaseron__beta_1b_\": \"yes\"\n    },\n    {\n      \"copaxone\": \"value7\",\n      \"mitoxantrone\": \"yes\",\n      \"betaseron__beta_1b_\": \"yes\"\n    },\n    {\n      \"copaxone\": \"value8\",\n      \"mitoxantrone\": \"yes\",\n      \"betaseron__beta_1b_\": \"no\"\n    },\n    {\n      \"copaxone\": \"value9\",\n      \"mitoxantrone\": \"no\",\n      \"betaseron__beta_1b_\": \"yes\"\n    },\n    {\n      \"copaxone\": \"value10\",\n      \"mitoxantrone\": \"yes\",\n      \"betaseron__beta_1b_\": \"no\"\n    }\n  ]\n}", "idx": 31290}
{"context": "CREATE TABLE table_name_31 (away_team VARCHAR, venue VARCHAR)", "sql_query": "select away_team as score from table_name_31 where venue = 'victoria park'", "question": "What was the opposing team's score at the match that was played at Victoria Park?", "data_table": "{\n  \"table_name_31\": [\n    {\n      \"away_team\": \"team a\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"away_team\": \"team b\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"away_team\": \"team c\",\n      \"venue\": \"central stadium\"\n    },\n    {\n      \"away_team\": \"team d\",\n      \"venue\": \"central stadium\"\n    },\n    {\n      \"away_team\": \"team e\",\n      \"venue\": \"old trafford\"\n    },\n    {\n      \"away_team\": \"team f\",\n      \"venue\": \"old trafford\"\n    },\n    {\n      \"away_team\": \"team g\",\n      \"venue\": \"anfield\"\n    },\n    {\n      \"away_team\": \"team h\",\n      \"venue\": \"anfield\"\n    },\n    {\n      \"away_team\": \"team i\",\n      \"venue\": \"emirates stadium\"\n    },\n    {\n      \"away_team\": \"team j\",\n      \"venue\": \"emirates stadium\"\n    }\n  ]\n}", "idx": 31291}
{"context": "CREATE TABLE table_22269839_1 (directed_by VARCHAR, written_by VARCHAR)", "sql_query": "select directed_by from table_22269839_1 where written_by = 'patrick meighan'", "question": "Who directed the episode written by patrick meighan?", "data_table": "{\n  \"table_22269839_1\": [\n    {\n      \"directed_by\": \"john smith\",\n      \"written_by\": \"patrick meighan\"\n    },\n    {\n      \"directed_by\": \"jane doe\",\n      \"written_by\": \"john johnson\"\n    },\n    {\n      \"directed_by\": \"michael brown\",\n      \"written_by\": \"sarah thompson\"\n    },\n    {\n      \"directed_by\": \"david wilson\",\n      \"written_by\": \"patrick meighan\"\n    },\n    {\n      \"directed_by\": \"emily davis\",\n      \"written_by\": \"michael johnson\"\n    },\n    {\n      \"directed_by\": \"robert anderson\",\n      \"written_by\": \"patrick meighan\"\n    },\n    {\n      \"directed_by\": \"jennifer lee\",\n      \"written_by\": \"david thompson\"\n    },\n    {\n      \"directed_by\": \"daniel harris\",\n      \"written_by\": \"patrick meighan\"\n    },\n    {\n      \"directed_by\": \"laura miller\",\n      \"written_by\": \"john johnson\"\n    },\n    {\n      \"directed_by\": \"matthew wilson\",\n      \"written_by\": \"patrick meighan\"\n    }\n  ]\n}", "idx": 31292}
{"context": "CREATE TABLE phone (Company_name VARCHAR)", "sql_query": "select count(*) from phone where company_name = 'nokia corporation'", "question": "How many phone hardware models are produced by the company named \"Nokia Corporation\"?", "data_table": "{\n  \"phone\": [\n    {\n      \"company_name\": \"apple\"\n    },\n    {\n      \"company_name\": \"samsung\"\n    },\n    {\n      \"company_name\": \"google\"\n    },\n    {\n      \"company_name\": \"nokia\"\n    },\n    {\n      \"company_name\": \"motorola\"\n    },\n    {\n      \"company_name\": \"sony\"\n    },\n    {\n      \"company_name\": \"lg\"\n    },\n    {\n      \"company_name\": \"htc\"\n    },\n    {\n      \"company_name\": \"blackberry\"\n    },\n    {\n      \"company_name\": \"huawei\"\n    }\n  ]\n}", "idx": 31293}
{"context": "CREATE TABLE table_name_4 (record VARCHAR, team VARCHAR)", "sql_query": "select record from table_name_4 where team = 'indiana'", "question": "What is the Record for the Team of Indiana?", "data_table": "{\n  \"table_name_4\": [\n    {\n      \"record\": \"john\",\n      \"team\": \"indiana\"\n    },\n    {\n      \"record\": \"sarah\",\n      \"team\": \"indiana\"\n    },\n    {\n      \"record\": \"michael\",\n      \"team\": \"chicago\"\n    },\n    {\n      \"record\": \"emily\",\n      \"team\": \"chicago\"\n    },\n    {\n      \"record\": \"david\",\n      \"team\": \"new york\"\n    },\n    {\n      \"record\": \"jessica\",\n      \"team\": \"new york\"\n    },\n    {\n      \"record\": \"daniel\",\n      \"team\": \"los angeles\"\n    },\n    {\n      \"record\": \"olivia\",\n      \"team\": \"los angeles\"\n    },\n    {\n      \"record\": \"matthew\",\n      \"team\": \"boston\"\n    },\n    {\n      \"record\": \"sophia\",\n      \"team\": \"boston\"\n    }\n  ]\n}", "idx": 31294}
{"context": "CREATE TABLE table_name_35 (episode INTEGER, performer_4 VARCHAR)", "sql_query": "select avg(episode) from table_name_35 where performer_4 = 'jimmy mulville'", "question": "What is the average episode number where jimmy mulville was the 4th performer?", "data_table": "{\n  \"table_name_35\": [\n    {\n      \"episode\": 1,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 2,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 3,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 4,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 5,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 6,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 7,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 8,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 9,\n      \"performer_4\": \"jimmy mulville\"\n    },\n    {\n      \"episode\": 10,\n      \"performer_4\": \"jimmy mulville\"\n    }\n  ]\n}", "idx": 31295}
{"context": "CREATE TABLE table_name_23 (score VARCHAR, opponent VARCHAR)", "sql_query": "select score from table_name_23 where opponent = 'vancouver canucks'", "question": "What is the score for the opponent Vancouver Canucks?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"score\": \"3-2\",\n      \"opponent\": \"vancouver canucks\"\n    },\n    {\n      \"score\": \"4-1\",\n      \"opponent\": \"calgary flames\"\n    },\n    {\n      \"score\": \"2-0\",\n      \"opponent\": \"edmonton oilers\"\n    },\n    {\n      \"score\": \"5-3\",\n      \"opponent\": \"toronto maple leafs\"\n    },\n    {\n      \"score\": \"2-4\",\n      \"opponent\": \"montreal canadiens\"\n    },\n    {\n      \"score\": \"1-0\",\n      \"opponent\": \"ottawa senators\"\n    },\n    {\n      \"score\": \"3-1\",\n      \"opponent\": \"winnipeg jets\"\n    },\n    {\n      \"score\": \"2-2\",\n      \"opponent\": \"new york rangers\"\n    },\n    {\n      \"score\": \"4-2\",\n      \"opponent\": \"boston bruins\"\n    },\n    {\n      \"score\": \"3-0\",\n      \"opponent\": \"chicago blackhawks\"\n    }\n  ]\n}", "idx": 31296}
{"context": "CREATE TABLE table_name_36 (years VARCHAR, representative VARCHAR)", "sql_query": "select years from table_name_36 where representative = 'j. smith young'", "question": "What years did J. Smith Young serve as a Representative?", "data_table": "{\n  \"table_name_36\": [\n    {\n      \"years\": \"2010\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2011\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2012\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2013\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2014\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2015\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2016\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2017\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2018\",\n      \"representative\": \"j. smith young\"\n    },\n    {\n      \"years\": \"2019\",\n      \"representative\": \"j. smith young\"\n    }\n  ]\n}", "idx": 31297}
{"context": "CREATE TABLE table_27537870_5 (game VARCHAR, score VARCHAR)", "sql_query": "select count(game) from table_27537870_5 where score = '2-6'", "question": "Name the number of game 2-6", "data_table": "{\n  \"table_27537870_5\": [\n    {\n      \"game\": \"game 1\",\n      \"score\": \"2-6\"\n    },\n    {\n      \"game\": \"game 2\",\n      \"score\": \"3-5\"\n    },\n    {\n      \"game\": \"game 3\",\n      \"score\": \"4-4\"\n    },\n    {\n      \"game\": \"game 4\",\n      \"score\": \"2-6\"\n    },\n    {\n      \"game\": \"game 5\",\n      \"score\": \"1-7\"\n    },\n    {\n      \"game\": \"game 6\",\n      \"score\": \"2-6\"\n    },\n    {\n      \"game\": \"game 7\",\n      \"score\": \"5-3\"\n    },\n    {\n      \"game\": \"game 8\",\n      \"score\": \"2-6\"\n    },\n    {\n      \"game\": \"game 9\",\n      \"score\": \"6-2\"\n    },\n    {\n      \"game\": \"game 10\",\n      \"score\": \"2-6\"\n    }\n  ]\n}", "idx": 31299}
{"context": "CREATE TABLE table_1606824_1 (pop_density_people_km_2 VARCHAR, population__percentage_of_eu VARCHAR, member_state VARCHAR)", "sql_query": "select pop_density_people_km_2 from table_1606824_1 where population__percentage_of_eu = '1.1%' and member_state = 'slovakia'", "question": "Name the population density where population % is 1.1% for slovakia", "data_table": "{\n  \"table_1606824_1\": [\n    {\n      \"pop_density_people_km_2\": \"100\",\n      \"population__percentage_of_eu\": \"1.1%\",\n      \"member_state\": \"slovakia\"\n    },\n    {\n      \"pop_density_people_km_2\": \"200\",\n      \"population__percentage_of_eu\": \"2.2%\",\n      \"member_state\": \"germany\"\n    },\n    {\n      \"pop_density_people_km_2\": \"150\",\n      \"population__percentage_of_eu\": \"3.3%\",\n      \"member_state\": \"france\"\n    },\n    {\n      \"pop_density_people_km_2\": \"300\",\n      \"population__percentage_of_eu\": \"4.4%\",\n      \"member_state\": \"italy\"\n    },\n    {\n      \"pop_density_people_km_2\": \"250\",\n      \"population__percentage_of_eu\": \"5.5%\",\n      \"member_state\": \"spain\"\n    },\n    {\n      \"pop_density_people_km_2\": \"400\",\n      \"population__percentage_of_eu\": \"6.6%\",\n      \"member_state\": \"poland\"\n    },\n    {\n      \"pop_density_people_km_2\": \"350\",\n      \"population__percentage_of_eu\": \"7.7%\",\n      \"member_state\": \"netherlands\"\n    },\n    {\n      \"pop_density_people_km_2\": \"500\",\n      \"population__percentage_of_eu\": \"8.8%\",\n      \"member_state\": \"belgium\"\n    },\n    {\n      \"pop_density_people_km_2\": \"450\",\n      \"population__percentage_of_eu\": \"9.9%\",\n      \"member_state\": \"sweden\"\n    },\n    {\n      \"pop_density_people_km_2\": \"600\",\n      \"population__percentage_of_eu\": \"10.0%\",\n      \"member_state\": \"denmark\"\n    }\n  ]\n}", "idx": 31300}
{"context": "CREATE TABLE table_19115414_4 (mountains_classification VARCHAR, team_classification VARCHAR)", "sql_query": "select mountains_classification from table_19115414_4 where team_classification = 'team columbia'", "question": "Name the mountains classification for team columbia", "data_table": "{\n  \"table_19115414_4\": [\n    {\n      \"mountains_classification\": \"category 1\",\n      \"team_classification\": \"team columbia\"\n    },\n    {\n      \"mountains_classification\": \"category 2\",\n      \"team_classification\": \"team columbia\"\n    },\n    {\n      \"mountains_classification\": \"category 3\",\n      \"team_classification\": \"team columbia\"\n    },\n    {\n      \"mountains_classification\": \"category 4\",\n      \"team_classification\": \"team columbia\"\n    },\n    {\n      \"mountains_classification\": \"category 1\",\n      \"team_classification\": \"team sky\"\n    },\n    {\n      \"mountains_classification\": \"category 2\",\n      \"team_classification\": \"team sky\"\n    },\n    {\n      \"mountains_classification\": \"category 3\",\n      \"team_classification\": \"team sky\"\n    },\n    {\n      \"mountains_classification\": \"category 4\",\n      \"team_classification\": \"team sky\"\n    },\n    {\n      \"mountains_classification\": \"category 1\",\n      \"team_classification\": \"team ineos\"\n    },\n    {\n      \"mountains_classification\": \"category 2\",\n      \"team_classification\": \"team ineos\"\n    }\n  ]\n}", "idx": 31301}
{"context": "CREATE TABLE ROLES (role_code VARCHAR)", "sql_query": "select role_code from roles", "question": "What are all role codes?", "data_table": "{\n  \"roles\": [\n    {\n      \"role_code\": \"admin\"\n    },\n    {\n      \"role_code\": \"user\"\n    },\n    {\n      \"role_code\": \"manager\"\n    },\n    {\n      \"role_code\": \"guest\"\n    },\n    {\n      \"role_code\": \"developer\"\n    },\n    {\n      \"role_code\": \"analyst\"\n    },\n    {\n      \"role_code\": \"supervisor\"\n    },\n    {\n      \"role_code\": \"tester\"\n    },\n    {\n      \"role_code\": \"support\"\n    },\n    {\n      \"role_code\": \"consultant\"\n    }\n  ]\n}", "idx": 31303}
{"context": "CREATE TABLE table_name_26 (outcome VARCHAR, date VARCHAR)", "sql_query": "select outcome from table_name_26 where date = '2 december 2012'", "question": "What was the outcome on 2 December 2012?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"outcome\": \"success\",\n      \"date\": \"1 december 2012\"\n    },\n    {\n      \"outcome\": \"failure\",\n      \"date\": \"2 december 2012\"\n    },\n    {\n      \"outcome\": \"success\",\n      \"date\": \"3 december 2012\"\n    },\n    {\n      \"outcome\": \"failure\",\n      \"date\": \"4 december 2012\"\n    },\n    {\n      \"outcome\": \"success\",\n      \"date\": \"5 december 2012\"\n    },\n    {\n      \"outcome\": \"failure\",\n      \"date\": \"6 december 2012\"\n    },\n    {\n      \"outcome\": \"success\",\n      \"date\": \"7 december 2012\"\n    },\n    {\n      \"outcome\": \"failure\",\n      \"date\": \"8 december 2012\"\n    },\n    {\n      \"outcome\": \"success\",\n      \"date\": \"9 december 2012\"\n    },\n    {\n      \"outcome\": \"failure\",\n      \"date\": \"10 december 2012\"\n    }\n  ]\n}", "idx": 31304}
{"context": "CREATE TABLE Students (first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, date_first_registered VARCHAR)", "sql_query": "select first_name, middle_name, last_name from students order by date_first_registered limit 1", "question": "Who is the first student to register? List the first name, middle name and last name.", "data_table": "{\n  \"students\": [\n    {\n      \"first_name\": \"john\",\n      \"middle_name\": \"doe\",\n      \"last_name\": \"smith\",\n      \"date_first_registered\": \"2020-01-01\"\n    },\n    {\n      \"first_name\": \"jane\",\n      \"middle_name\": \"marie\",\n      \"last_name\": \"johnson\",\n      \"date_first_registered\": \"2019-05-15\"\n    },\n    {\n      \"first_name\": \"michael\",\n      \"middle_name\": \"james\",\n      \"last_name\": \"brown\",\n      \"date_first_registered\": \"2020-03-10\"\n    },\n    {\n      \"first_name\": \"emily\",\n      \"middle_name\": \"grace\",\n      \"last_name\": \"davis\",\n      \"date_first_registered\": \"2018-11-20\"\n    },\n    {\n      \"first_name\": \"daniel\",\n      \"middle_name\": \"robert\",\n      \"last_name\": \"wilson\",\n      \"date_first_registered\": \"2019-09-02\"\n    },\n    {\n      \"first_name\": \"sophia\",\n      \"middle_name\": \"elizabeth\",\n      \"last_name\": \"taylor\",\n      \"date_first_registered\": \"2020-02-14\"\n    },\n    {\n      \"first_name\": \"david\",\n      \"middle_name\": \"alexander\",\n      \"last_name\": \"anderson\",\n      \"date_first_registered\": \"2019-07-07\"\n    },\n    {\n      \"first_name\": \"olivia\",\n      \"middle_name\": \"rose\",\n      \"last_name\": \"miller\",\n      \"date_first_registered\": \"2018-12-25\"\n    },\n    {\n      \"first_name\": \"matthew\",\n      \"middle_name\": \"thomas\",\n      \"last_name\": \"clark\",\n      \"date_first_registered\": \"2020-04-30\"\n    },\n    {\n      \"first_name\": \"ava\",\n      \"middle_name\": \"nicole\",\n      \"last_name\": \"walker\",\n      \"date_first_registered\": \"2019-10-12\"\n    }\n  ]\n}", "idx": 31305}
{"context": "CREATE TABLE trained_in (physician VARCHAR, treatment VARCHAR); CREATE TABLE procedures (cost INTEGER, code VARCHAR); CREATE TABLE physician (employeeid VARCHAR, name VARCHAR)", "sql_query": "select avg(t3.cost) from physician as t1 join trained_in as t2 on t1.employeeid = t2.physician join procedures as t3 on t3.code = t2.treatment where t1.name = 'john wen'", "question": "What is the average cost of procedures that physician John Wen was trained in?", "data_table": "{\n  \"trained_in\": [\n    {\n      \"physician\": \"john doe\",\n      \"treatment\": \"surgery\"\n    },\n    {\n      \"physician\": \"jane smith\",\n      \"treatment\": \"medication\"\n    },\n    {\n      \"physician\": \"michael johnson\",\n      \"treatment\": \"physical therapy\"\n    },\n    {\n      \"physician\": \"emily davis\",\n      \"treatment\": \"radiation\"\n    },\n    {\n      \"physician\": \"robert wilson\",\n      \"treatment\": \"chemotherapy\"\n    },\n    {\n      \"physician\": \"sarah thompson\",\n      \"treatment\": \"surgery\"\n    },\n    {\n      \"physician\": \"david brown\",\n      \"treatment\": \"medication\"\n    },\n    {\n      \"physician\": \"jennifer lee\",\n      \"treatment\": \"physical therapy\"\n    },\n    {\n      \"physician\": \"christopher taylor\",\n      \"treatment\": \"radiation\"\n    },\n    {\n      \"physician\": \"jessica martinez\",\n      \"treatment\": \"chemotherapy\"\n    }\n  ],\n  \"procedures\": [\n    {\n      \"cost\": 500,\n      \"code\": \"p001\"\n    },\n    {\n      \"cost\": 1000,\n      \"code\": \"p002\"\n    },\n    {\n      \"cost\": 750,\n      \"code\": \"p003\"\n    },\n    {\n      \"cost\": 1200,\n      \"code\": \"p004\"\n    },\n    {\n      \"cost\": 900,\n      \"code\": \"p005\"\n    },\n    {\n      \"cost\": 800,\n      \"code\": \"p006\"\n    },\n    {\n      \"cost\": 1500,\n      \"code\": \"p007\"\n    },\n    {\n      \"cost\": 600,\n      \"code\": \"p008\"\n    },\n    {\n      \"cost\": 1100,\n      \"code\": \"p009\"\n    },\n    {\n      \"cost\": 950,\n      \"code\": \"p010\"\n    }\n  ],\n  \"physician\": [\n    {\n      \"employeeid\": \"e001\",\n      \"name\": \"john wen\"\n    },\n    {\n      \"employeeid\": \"e002\",\n      \"name\": \"emily johnson\"\n    },\n    {\n      \"employeeid\": \"e003\",\n      \"name\": \"michael smith\"\n    },\n    {\n      \"employeeid\": \"e004\",\n      \"name\": \"sarah davis\"\n    },\n    {\n      \"employeeid\": \"e005\",\n      \"name\": \"robert wilson\"\n    },\n    {\n      \"employeeid\": \"e006\",\n      \"name\": \"jane thompson\"\n    },\n    {\n      \"employeeid\": \"e007\",\n      \"name\": \"david brown\"\n    },\n    {\n      \"employeeid\": \"e008\",\n      \"name\": \"jennifer lee\"\n    },\n    {\n      \"employeeid\": \"e009\",\n      \"name\": \"christopher taylor\"\n    },\n    {\n      \"employeeid\": \"e010\",\n      \"name\": \"jessica martinez\"\n    }\n  ]\n}", "idx": 31306}
{"context": "CREATE TABLE table_name_62 (size__steps_ INTEGER, interval_name VARCHAR)", "sql_query": "select avg(size__steps_) from table_name_62 where interval_name = 'minor third'", "question": "Tell me the average size for minor third", "data_table": "{\n  \"table_name_62\": [\n    {\n      \"size__steps_\": 2,\n      \"interval_name\": \"minor third\"\n    },\n    {\n      \"size__steps_\": 4,\n      \"interval_name\": \"major third\"\n    },\n    {\n      \"size__steps_\": 3,\n      \"interval_name\": \"perfect fourth\"\n    },\n    {\n      \"size__steps_\": 5,\n      \"interval_name\": \"perfect fifth\"\n    },\n    {\n      \"size__steps_\": 7,\n      \"interval_name\": \"minor seventh\"\n    },\n    {\n      \"size__steps_\": 9,\n      \"interval_name\": \"major seventh\"\n    },\n    {\n      \"size__steps_\": 12,\n      \"interval_name\": \"octave\"\n    },\n    {\n      \"size__steps_\": 6,\n      \"interval_name\": \"tritone\"\n    },\n    {\n      \"size__steps_\": 8,\n      \"interval_name\": \"minor sixth\"\n    },\n    {\n      \"size__steps_\": 10,\n      \"interval_name\": \"major sixth\"\n    }\n  ]\n}", "idx": 31308}
{"context": "CREATE TABLE table_name_21 (attendance VARCHAR, loss VARCHAR)", "sql_query": "select attendance from table_name_21 where loss = 'prokopec (2-7)'", "question": "How many were in attendance with a loss of Prokopec (2-7)?", "data_table": "{\n  \"table_name_21\": [\n    {\n      \"attendance\": \"10000\",\n      \"loss\": \"prokopec (2-7)\"\n    },\n    {\n      \"attendance\": \"15000\",\n      \"loss\": \"johnson (5-4)\"\n    },\n    {\n      \"attendance\": \"20000\",\n      \"loss\": \"martinez (3-6)\"\n    },\n    {\n      \"attendance\": \"12000\",\n      \"loss\": \"hernandez (1-8)\"\n    },\n    {\n      \"attendance\": \"18000\",\n      \"loss\": \"williams (4-5)\"\n    },\n    {\n      \"attendance\": \"9000\",\n      \"loss\": \"rodriguez (6-3)\"\n    },\n    {\n      \"attendance\": \"17000\",\n      \"loss\": \"lopez (7-2)\"\n    },\n    {\n      \"attendance\": \"11000\",\n      \"loss\": \"gonzalez (9-0)\"\n    },\n    {\n      \"attendance\": \"13000\",\n      \"loss\": \"lee (8-1)\"\n    },\n    {\n      \"attendance\": \"14000\",\n      \"loss\": \"smith (10-0)\"\n    }\n  ]\n}", "idx": 31310}
{"context": "CREATE TABLE table_1585609_2 (japanese VARCHAR, name VARCHAR)", "sql_query": "select count(japanese) from table_1585609_2 where name = 'amagasaki'", "question": "Name the total number of japanese for amagasaki", "data_table": "{\n  \"table_1585609_2\": [\n    {\n      \"japanese\": \"tokyo\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"kyoto\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"osaka\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"hiroshima\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"nagoya\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"sapporo\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"fukuoka\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"yokohama\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"kobe\",\n      \"name\": \"amagasaki\"\n    },\n    {\n      \"japanese\": \"nara\",\n      \"name\": \"amagasaki\"\n    }\n  ]\n}", "idx": 31311}
{"context": "CREATE TABLE table_28177800_5 (late_middle_english VARCHAR, late_old_english__anglian_ VARCHAR)", "sql_query": "select late_middle_english from table_28177800_5 where late_old_english__anglian_ = '\u00e6g, \u01e3g'", "question": "What is the Late Middle English equivalent of the Anglian \u00e6g, \u01e3g?", "data_table": "{\n  \"table_28177800_5\": [\n    {\n      \"late_middle_english\": \"word1\",\n      \"late_old_english__anglian_\": \"\u00e6g, \u01e3g\"\n    },\n    {\n      \"late_middle_english\": \"word2\",\n      \"late_old_english__anglian_\": \"\u01e3fen\"\n    },\n    {\n      \"late_middle_english\": \"word3\",\n      \"late_old_english__anglian_\": \"\u01e3ghw\u00e6\u00f0er\"\n    },\n    {\n      \"late_middle_english\": \"word4\",\n      \"late_old_english__anglian_\": \"\u01e3lmesse\"\n    },\n    {\n      \"late_middle_english\": \"word5\",\n      \"late_old_english__anglian_\": \"\u01e3metta\"\n    },\n    {\n      \"late_middle_english\": \"word6\",\n      \"late_old_english__anglian_\": \"\u01e3mettan\"\n    },\n    {\n      \"late_middle_english\": \"word7\",\n      \"late_old_english__anglian_\": \"\u01e3mette\"\n    },\n    {\n      \"late_middle_english\": \"word8\",\n      \"late_old_english__anglian_\": \"\u01e3mettende\"\n    },\n    {\n      \"late_middle_english\": \"word9\",\n      \"late_old_english__anglian_\": \"\u01e3mettendlic\"\n    },\n    {\n      \"late_middle_english\": \"word10\",\n      \"late_old_english__anglian_\": \"\u01e3mettendnes\"\n    }\n  ]\n}", "idx": 31312}
{"context": "CREATE TABLE table_10120207_8 (tv_season VARCHAR, viewers__millions_ VARCHAR)", "sql_query": "select tv_season from table_10120207_8 where viewers__millions_ = '10.73'", "question": "What year is the season with the 10.73 million views?", "data_table": "{\n  \"table_10120207_8\": [\n    {\n      \"tv_season\": \"season 1\",\n      \"viewers__millions_\": \"10.73\"\n    },\n    {\n      \"tv_season\": \"season 2\",\n      \"viewers__millions_\": \"8.91\"\n    },\n    {\n      \"tv_season\": \"season 3\",\n      \"viewers__millions_\": \"12.45\"\n    },\n    {\n      \"tv_season\": \"season 4\",\n      \"viewers__millions_\": \"9.67\"\n    },\n    {\n      \"tv_season\": \"season 5\",\n      \"viewers__millions_\": \"11.32\"\n    },\n    {\n      \"tv_season\": \"season 6\",\n      \"viewers__millions_\": \"10.73\"\n    },\n    {\n      \"tv_season\": \"season 7\",\n      \"viewers__millions_\": \"8.21\"\n    },\n    {\n      \"tv_season\": \"season 8\",\n      \"viewers__millions_\": \"10.73\"\n    },\n    {\n      \"tv_season\": \"season 9\",\n      \"viewers__millions_\": \"9.34\"\n    },\n    {\n      \"tv_season\": \"season 10\",\n      \"viewers__millions_\": \"10.73\"\n    }\n  ]\n}", "idx": 31313}
{"context": "CREATE TABLE table_name_5 (date VARCHAR, round VARCHAR)", "sql_query": "select date from table_name_5 where round = '2r'", "question": "What was the date for Round 2r?", "data_table": "{\n  \"table_name_5\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"round\": \"1r\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"round\": \"2r\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"round\": \"1r\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"round\": \"2r\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"round\": \"1r\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"round\": \"2r\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"round\": \"1r\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"round\": \"2r\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"round\": \"1r\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"round\": \"2r\"\n    }\n  ]\n}", "idx": 31314}
{"context": "CREATE TABLE table_18198579_2 (no INTEGER, tournament VARCHAR)", "sql_query": "select max(no) from table_18198579_2 where tournament = 'evian masters'", "question": "List the total numbers of Evian Masters tournaments. ", "data_table": "{\n  \"table_18198579_2\": [\n    {\n      \"no\": 1,\n      \"tournament\": \"evian masters\"\n    },\n    {\n      \"no\": 2,\n      \"tournament\": \"us open\"\n    },\n    {\n      \"no\": 3,\n      \"tournament\": \"british open\"\n    },\n    {\n      \"no\": 4,\n      \"tournament\": \"masters\"\n    },\n    {\n      \"no\": 5,\n      \"tournament\": \"pga championship\"\n    },\n    {\n      \"no\": 6,\n      \"tournament\": \"ryder cup\"\n    },\n    {\n      \"no\": 7,\n      \"tournament\": \"players championship\"\n    },\n    {\n      \"no\": 8,\n      \"tournament\": \"fedex cup\"\n    },\n    {\n      \"no\": 9,\n      \"tournament\": \"presidents cup\"\n    },\n    {\n      \"no\": 10,\n      \"tournament\": \"the open championship\"\n    }\n  ]\n}", "idx": 31316}
{"context": "CREATE TABLE table_name_14 (round INTEGER, time VARCHAR, res VARCHAR, location VARCHAR)", "sql_query": "select min(round) from table_name_14 where res = 'win' and location = 'fort lauderdale, florida, united states' and time = '3:38'", "question": "What is the lowest round for Fort Lauderdale, Florida, United States, with a win and a time of 3:38?", "data_table": "{\n  \"table_name_14\": [\n    {\n      \"round\": 1,\n      \"time\": \"2:15\",\n      \"res\": \"win\",\n      \"location\": \"miami, florida, united states\"\n    },\n    {\n      \"round\": 2,\n      \"time\": \"3:38\",\n      \"res\": \"win\",\n      \"location\": \"fort lauderdale, florida, united states\"\n    },\n    {\n      \"round\": 3,\n      \"time\": \"4:45\",\n      \"res\": \"loss\",\n      \"location\": \"orlando, florida, united states\"\n    },\n    {\n      \"round\": 4,\n      \"time\": \"5:50\",\n      \"res\": \"win\",\n      \"location\": \"tampa, florida, united states\"\n    },\n    {\n      \"round\": 5,\n      \"time\": \"6:55\",\n      \"res\": \"loss\",\n      \"location\": \"jacksonville, florida, united states\"\n    },\n    {\n      \"round\": 6,\n      \"time\": \"8:00\",\n      \"res\": \"win\",\n      \"location\": \"miami, florida, united states\"\n    },\n    {\n      \"round\": 7,\n      \"time\": \"9:05\",\n      \"res\": \"win\",\n      \"location\": \"fort lauderdale, florida, united states\"\n    },\n    {\n      \"round\": 8,\n      \"time\": \"10:10\",\n      \"res\": \"loss\",\n      \"location\": \"orlando, florida, united states\"\n    },\n    {\n      \"round\": 9,\n      \"time\": \"11:15\",\n      \"res\": \"win\",\n      \"location\": \"tampa, florida, united states\"\n    },\n    {\n      \"round\": 10,\n      \"time\": \"12:20\",\n      \"res\": \"loss\",\n      \"location\": \"jacksonville, florida, united states\"\n    }\n  ]\n}", "idx": 31317}
{"context": "CREATE TABLE table_name_2 (player VARCHAR, place VARCHAR)", "sql_query": "select player from table_name_2 where place = 't10'", "question": "What Player has a Place of t10?", "data_table": "{\n  \"table_name_2\": [\n    {\n      \"player\": \"john\",\n      \"place\": \"t10\"\n    },\n    {\n      \"player\": \"sarah\",\n      \"place\": \"t5\"\n    },\n    {\n      \"player\": \"michael\",\n      \"place\": \"t10\"\n    },\n    {\n      \"player\": \"emily\",\n      \"place\": \"t3\"\n    },\n    {\n      \"player\": \"david\",\n      \"place\": \"t7\"\n    },\n    {\n      \"player\": \"jessica\",\n      \"place\": \"t2\"\n    },\n    {\n      \"player\": \"daniel\",\n      \"place\": \"t10\"\n    },\n    {\n      \"player\": \"olivia\",\n      \"place\": \"t1\"\n    },\n    {\n      \"player\": \"matthew\",\n      \"place\": \"t4\"\n    },\n    {\n      \"player\": \"sophia\",\n      \"place\": \"t10\"\n    }\n  ]\n}", "idx": 31318}
{"context": "CREATE TABLE table_12094609_1 (preliminaries VARCHAR, state VARCHAR)", "sql_query": "select preliminaries from table_12094609_1 where state = 'south dakota'", "question": " what's the\u00a0preliminaries\u00a0where\u00a0state\u00a0is south dakota", "data_table": "{\n  \"table_12094609_1\": [\n    {\n      \"preliminaries\": \"value1\",\n      \"state\": \"south dakota\"\n    },\n    {\n      \"preliminaries\": \"value2\",\n      \"state\": \"north dakota\"\n    },\n    {\n      \"preliminaries\": \"value3\",\n      \"state\": \"south dakota\"\n    },\n    {\n      \"preliminaries\": \"value4\",\n      \"state\": \"california\"\n    },\n    {\n      \"preliminaries\": \"value5\",\n      \"state\": \"south dakota\"\n    },\n    {\n      \"preliminaries\": \"value6\",\n      \"state\": \"new york\"\n    },\n    {\n      \"preliminaries\": \"value7\",\n      \"state\": \"south dakota\"\n    },\n    {\n      \"preliminaries\": \"value8\",\n      \"state\": \"texas\"\n    },\n    {\n      \"preliminaries\": \"value9\",\n      \"state\": \"south dakota\"\n    },\n    {\n      \"preliminaries\": \"value10\",\n      \"state\": \"florida\"\n    }\n  ]\n}", "idx": 31319}
{"context": "CREATE TABLE table_1341423_43 (incumbent VARCHAR, district VARCHAR)", "sql_query": "select incumbent from table_1341423_43 where district = 'texas 22'", "question": "Name the incumbent for texas 22 district", "data_table": "{\n  \"table_1341423_43\": [\n    {\n      \"incumbent\": \"john smith\",\n      \"district\": \"texas 22\"\n    },\n    {\n      \"incumbent\": \"jane doe\",\n      \"district\": \"texas 22\"\n    },\n    {\n      \"incumbent\": \"michael johnson\",\n      \"district\": \"texas 23\"\n    },\n    {\n      \"incumbent\": \"emily brown\",\n      \"district\": \"texas 23\"\n    },\n    {\n      \"incumbent\": \"david wilson\",\n      \"district\": \"texas 24\"\n    },\n    {\n      \"incumbent\": \"sarah davis\",\n      \"district\": \"texas 24\"\n    },\n    {\n      \"incumbent\": \"robert thompson\",\n      \"district\": \"texas 25\"\n    },\n    {\n      \"incumbent\": \"jennifer lee\",\n      \"district\": \"texas 25\"\n    },\n    {\n      \"incumbent\": \"william harris\",\n      \"district\": \"texas 26\"\n    },\n    {\n      \"incumbent\": \"jessica martinez\",\n      \"district\": \"texas 26\"\n    }\n  ]\n}", "idx": 31320}
{"context": "CREATE TABLE Timed_Status_of_Things (Status_of_Thing_Code VARCHAR)", "sql_query": "select count(distinct status_of_thing_code) from timed_status_of_things", "question": "How many different status codes of things are there?", "data_table": "{\n  \"timed_status_of_things\": [\n    {\n      \"status_of_thing_code\": \"a\"\n    },\n    {\n      \"status_of_thing_code\": \"b\"\n    },\n    {\n      \"status_of_thing_code\": \"c\"\n    },\n    {\n      \"status_of_thing_code\": \"d\"\n    },\n    {\n      \"status_of_thing_code\": \"e\"\n    },\n    {\n      \"status_of_thing_code\": \"f\"\n    },\n    {\n      \"status_of_thing_code\": \"g\"\n    },\n    {\n      \"status_of_thing_code\": \"h\"\n    },\n    {\n      \"status_of_thing_code\": \"i\"\n    },\n    {\n      \"status_of_thing_code\": \"j\"\n    }\n  ]\n}", "idx": 31321}
{"context": "CREATE TABLE table_name_79 (nationality VARCHAR, position VARCHAR)", "sql_query": "select nationality from table_name_79 where position = 'c'", "question": "What is the nationality of the C?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"nationality\": \"usa\",\n      \"position\": \"c\"\n    },\n    {\n      \"nationality\": \"canada\",\n      \"position\": \"1b\"\n    },\n    {\n      \"nationality\": \"mexico\",\n      \"position\": \"2b\"\n    },\n    {\n      \"nationality\": \"japan\",\n      \"position\": \"ss\"\n    },\n    {\n      \"nationality\": \"dominican republic\",\n      \"position\": \"3b\"\n    },\n    {\n      \"nationality\": \"venezuela\",\n      \"position\": \"lf\"\n    },\n    {\n      \"nationality\": \"puerto rico\",\n      \"position\": \"cf\"\n    },\n    {\n      \"nationality\": \"cuba\",\n      \"position\": \"rf\"\n    },\n    {\n      \"nationality\": \"south korea\",\n      \"position\": \"dh\"\n    },\n    {\n      \"nationality\": \"australia\",\n      \"position\": \"p\"\n    }\n  ]\n}", "idx": 31322}
{"context": "CREATE TABLE table_name_93 (result VARCHAR, date VARCHAR)", "sql_query": "select result from table_name_93 where date = '13 october 1993'", "question": "What was the result of the match played on 13 October 1993?", "data_table": "{\n  \"table_name_93\": [\n    {\n      \"result\": \"success\",\n      \"date\": \"13 october 1993\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"14 october 1993\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"15 october 1993\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"16 october 1993\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"17 october 1993\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"18 october 1993\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"19 october 1993\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"20 october 1993\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"21 october 1993\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"22 october 1993\"\n    }\n  ]\n}", "idx": 31324}
{"context": "CREATE TABLE table_name_23 (tonnage_grt INTEGER, type VARCHAR, nationality VARCHAR)", "sql_query": "select sum(tonnage_grt) from table_name_23 where type = 'cargo ship' and nationality = 'norway'", "question": "What is the total Tonnage GRT with a Type of cargo ship, and a Nationality of norway?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"tonnage_grt\": 100,\n      \"type\": \"cargo ship\",\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage_grt\": 200,\n      \"type\": \"passenger ship\",\n      \"nationality\": \"france\"\n    },\n    {\n      \"tonnage_grt\": 150,\n      \"type\": \"cargo ship\",\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage_grt\": 300,\n      \"type\": \"passenger ship\",\n      \"nationality\": \"italy\"\n    },\n    {\n      \"tonnage_grt\": 250,\n      \"type\": \"cargo ship\",\n      \"nationality\": \"germany\"\n    },\n    {\n      \"tonnage_grt\": 180,\n      \"type\": \"passenger ship\",\n      \"nationality\": \"france\"\n    },\n    {\n      \"tonnage_grt\": 120,\n      \"type\": \"cargo ship\",\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage_grt\": 220,\n      \"type\": \"passenger ship\",\n      \"nationality\": \"italy\"\n    },\n    {\n      \"tonnage_grt\": 170,\n      \"type\": \"cargo ship\",\n      \"nationality\": \"germany\"\n    },\n    {\n      \"tonnage_grt\": 350,\n      \"type\": \"passenger ship\",\n      \"nationality\": \"france\"\n    }\n  ]\n}", "idx": 31325}
{"context": "CREATE TABLE table_27713030_11 (high_rebounds VARCHAR, location_attendance VARCHAR)", "sql_query": "select count(high_rebounds) from table_27713030_11 where location_attendance = 'philips arena 20,024'", "question": "How many entries are shown for high rebounds for the philips arena 20,024 game?", "data_table": "{\n  \"table_27713030_11\": [\n    {\n      \"high_rebounds\": \"10\",\n      \"location_attendance\": \"philips arena 20,024\"\n    },\n    {\n      \"high_rebounds\": \"8\",\n      \"location_attendance\": \"staples center 18,997\"\n    },\n    {\n      \"high_rebounds\": \"12\",\n      \"location_attendance\": \"madison square garden 19,812\"\n    },\n    {\n      \"high_rebounds\": \"6\",\n      \"location_attendance\": \"td garden 18,624\"\n    },\n    {\n      \"high_rebounds\": \"9\",\n      \"location_attendance\": \"oracle arena 19,596\"\n    },\n    {\n      \"high_rebounds\": \"7\",\n      \"location_attendance\": \"united center 20,917\"\n    },\n    {\n      \"high_rebounds\": \"11\",\n      \"location_attendance\": \"american airlines arena 19,600\"\n    },\n    {\n      \"high_rebounds\": \"5\",\n      \"location_attendance\": \"toyota center 18,055\"\n    },\n    {\n      \"high_rebounds\": \"13\",\n      \"location_attendance\": \"barclays center 17,732\"\n    },\n    {\n      \"high_rebounds\": \"4\",\n      \"location_attendance\": \"smoothie king center 16,867\"\n    }\n  ]\n}", "idx": 31326}
{"context": "CREATE TABLE table_name_66 (chinese__traditional_ VARCHAR, chinese__simplified_ VARCHAR)", "sql_query": "select chinese__traditional_ from table_name_66 where chinese__simplified_ = '\u5d07\u62dc'", "question": "What would be the traditional Chinese name tat is simplified as \u5d07\u62dc?", "data_table": "{\n  \"table_name_66\": [\n    {\n      \"chinese__traditional_\": \"\u5d07\u62dc\",\n      \"chinese__simplified_\": \"\u5d07\u62dc\"\n    },\n    {\n      \"chinese__traditional_\": \"\u611b\",\n      \"chinese__simplified_\": \"\u7231\"\n    },\n    {\n      \"chinese__traditional_\": \"\u656c\u754f\",\n      \"chinese__simplified_\": \"\u656c\u754f\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5d07\u656c\",\n      \"chinese__simplified_\": \"\u5d07\u656c\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5d07\u5949\",\n      \"chinese__simplified_\": \"\u5d07\u5949\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5c0a\u5d07\",\n      \"chinese__simplified_\": \"\u5c0a\u5d07\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5d07\u9ad8\",\n      \"chinese__simplified_\": \"\u5d07\u9ad8\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5d07\u4fe1\",\n      \"chinese__simplified_\": \"\u5d07\u4fe1\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5d07\u5c1a\",\n      \"chinese__simplified_\": \"\u5d07\u5c1a\"\n    },\n    {\n      \"chinese__traditional_\": \"\u5d07\u656c\",\n      \"chinese__simplified_\": \"\u5d07\u656c\"\n    }\n  ]\n}", "idx": 31328}
{"context": "CREATE TABLE table_name_48 (long_term_gain_on_collectibles VARCHAR, ordinary_income_rate VARCHAR)", "sql_query": "select long_term_gain_on_collectibles from table_name_48 where ordinary_income_rate = '15%'", "question": "What long-term gain for collectibles coincides with ordinary income rate 15%?", "data_table": "{\n  \"table_name_48\": [\n    {\n      \"long_term_gain_on_collectibles\": \"art\",\n      \"ordinary_income_rate\": \"10%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"coins\",\n      \"ordinary_income_rate\": \"15%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"jewelry\",\n      \"ordinary_income_rate\": \"20%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"antiques\",\n      \"ordinary_income_rate\": \"25%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"stamps\",\n      \"ordinary_income_rate\": \"15%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"wine\",\n      \"ordinary_income_rate\": \"30%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"sports memorabilia\",\n      \"ordinary_income_rate\": \"15%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"comic books\",\n      \"ordinary_income_rate\": \"35%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"vintage cars\",\n      \"ordinary_income_rate\": \"15%\"\n    },\n    {\n      \"long_term_gain_on_collectibles\": \"rare books\",\n      \"ordinary_income_rate\": \"40%\"\n    }\n  ]\n}", "idx": 31329}
{"context": "CREATE TABLE table_name_60 (event VARCHAR, method VARCHAR, record VARCHAR)", "sql_query": "select event from table_name_60 where method = 'tko (punches)' and record = '7-1'", "question": "What is the event when the method was tko (punches), and the record was 7-1?", "data_table": "{\n  \"table_name_60\": [\n    {\n      \"event\": \"knockout\",\n      \"method\": \"tko (punches)\",\n      \"record\": \"7-1\"\n    },\n    {\n      \"event\": \"submission\",\n      \"method\": \"submission (rear-naked choke)\",\n      \"record\": \"5-3\"\n    },\n    {\n      \"event\": \"decision\",\n      \"method\": \"unanimous decision\",\n      \"record\": \"10-2\"\n    },\n    {\n      \"event\": \"knockout\",\n      \"method\": \"tko (elbows)\",\n      \"record\": \"12-0\"\n    },\n    {\n      \"event\": \"submission\",\n      \"method\": \"submission (armbar)\",\n      \"record\": \"8-4\"\n    },\n    {\n      \"event\": \"knockout\",\n      \"method\": \"ko (head kick)\",\n      \"record\": \"6-2\"\n    },\n    {\n      \"event\": \"decision\",\n      \"method\": \"split decision\",\n      \"record\": \"9-3\"\n    },\n    {\n      \"event\": \"knockout\",\n      \"method\": \"ko (punch)\",\n      \"record\": \"11-1\"\n    },\n    {\n      \"event\": \"submission\",\n      \"method\": \"submission (guillotine choke)\",\n      \"record\": \"7-5\"\n    },\n    {\n      \"event\": \"knockout\",\n      \"method\": \"ko (knee)\",\n      \"record\": \"10-0\"\n    }\n  ]\n}", "idx": 31330}
{"context": "CREATE TABLE table_name_83 (home VARCHAR, date VARCHAR)", "sql_query": "select home from table_name_83 where date = '27 march 2008'", "question": "Who was the home team on 27 march 2008?", "data_table": "{\n  \"table_name_83\": [\n    {\n      \"home\": \"new york\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"los angeles\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"chicago\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"san francisco\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"seattle\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"boston\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"miami\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"denver\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"houston\",\n      \"date\": \"27 march 2008\"\n    },\n    {\n      \"home\": \"phoenix\",\n      \"date\": \"27 march 2008\"\n    }\n  ]\n}", "idx": 31331}
{"context": "CREATE TABLE product (product_name VARCHAR, product_id VARCHAR); CREATE TABLE staff (staff_id VARCHAR, staff_first_name VARCHAR, staff_last_name VARCHAR); CREATE TABLE problems (product_id VARCHAR, reported_by_staff_id VARCHAR)", "sql_query": "select t2.product_name from problems as t1 join product as t2 join staff as t3 on t1.product_id = t2.product_id and t1.reported_by_staff_id = t3.staff_id where t3.staff_first_name = 'lacey' and t3.staff_last_name = 'bosco' intersect select t2.product_name from problems as t1 join product as t2 join staff as t3 on t1.product_id = t2.product_id and t1.reported_by_staff_id = t3.staff_id where t3.staff_first_name = 'kenton' and t3.staff_last_name = 'champlin'", "question": "Find the products which have problems reported by both Lacey Bosco and Kenton Champlin?", "data_table": "{\n  \"product\": [\n    {\n      \"product_name\": \"iphone\",\n      \"product_id\": \"12345\"\n    },\n    {\n      \"product_name\": \"samsung galaxy\",\n      \"product_id\": \"67890\"\n    },\n    {\n      \"product_name\": \"google pixel\",\n      \"product_id\": \"54321\"\n    },\n    {\n      \"product_name\": \"lg g8\",\n      \"product_id\": \"09876\"\n    },\n    {\n      \"product_name\": \"oneplus 7t\",\n      \"product_id\": \"13579\"\n    }\n  ],\n  \"staff\": [\n    {\n      \"staff_id\": \"1001\",\n      \"staff_first_name\": \"lacey\",\n      \"staff_last_name\": \"bosco\"\n    },\n    {\n      \"staff_id\": \"1002\",\n      \"staff_first_name\": \"kenton\",\n      \"staff_last_name\": \"champlin\"\n    },\n    {\n      \"staff_id\": \"1003\",\n      \"staff_first_name\": \"john\",\n      \"staff_last_name\": \"doe\"\n    },\n    {\n      \"staff_id\": \"1004\",\n      \"staff_first_name\": \"jane\",\n      \"staff_last_name\": \"smith\"\n    },\n    {\n      \"staff_id\": \"1005\",\n      \"staff_first_name\": \"michael\",\n      \"staff_last_name\": \"johnson\"\n    }\n  ],\n  \"problems\": [\n    {\n      \"product_id\": \"12345\",\n      \"reported_by_staff_id\": \"1001\"\n    },\n    {\n      \"product_id\": \"67890\",\n      \"reported_by_staff_id\": \"1002\"\n    },\n    {\n      \"product_id\": \"54321\",\n      \"reported_by_staff_id\": \"1003\"\n    },\n    {\n      \"product_id\": \"09876\",\n      \"reported_by_staff_id\": \"1004\"\n    },\n    {\n      \"product_id\": \"13579\",\n      \"reported_by_staff_id\": \"1005\"\n    }\n  ]\n}", "idx": 31332}
{"context": "CREATE TABLE table_name_11 (american VARCHAR, australian VARCHAR)", "sql_query": "select american from table_name_11 where australian = '\u0259\u0289'", "question": "What's the American pronunciation when the Australian is \u0259\u0289?", "data_table": "{\n  \"table_name_11\": [\n    {\n      \"american\": \"apple\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"banana\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"carrot\",\n      \"australian\": \"\u026a\u0261\u02c8z\u00e6mp\u0259l\"\n    },\n    {\n      \"american\": \"date\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"eggplant\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"fig\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"grape\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"honeydew\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"iceberg\",\n      \"australian\": \"\u0259\u0289\"\n    },\n    {\n      \"american\": \"jackfruit\",\n      \"australian\": \"\u0259\u0289\"\n    }\n  ]\n}", "idx": 31333}
{"context": "CREATE TABLE table_name_12 (country VARCHAR, score VARCHAR)", "sql_query": "select country from table_name_12 where score = '293'", "question": "What is the Country of the Championship with a Score of 293?", "data_table": "{\n  \"table_name_12\": [\n    {\n      \"country\": \"usa\",\n      \"score\": \"293\"\n    },\n    {\n      \"country\": \"canada\",\n      \"score\": \"100\"\n    },\n    {\n      \"country\": \"germany\",\n      \"score\": \"293\"\n    },\n    {\n      \"country\": \"france\",\n      \"score\": \"200\"\n    },\n    {\n      \"country\": \"australia\",\n      \"score\": \"293\"\n    },\n    {\n      \"country\": \"japan\",\n      \"score\": \"150\"\n    },\n    {\n      \"country\": \"brazil\",\n      \"score\": \"293\"\n    },\n    {\n      \"country\": \"india\",\n      \"score\": \"250\"\n    },\n    {\n      \"country\": \"china\",\n      \"score\": \"293\"\n    },\n    {\n      \"country\": \"mexico\",\n      \"score\": \"180\"\n    }\n  ]\n}", "idx": 31334}
{"context": "CREATE TABLE table_name_32 (producer VARCHAR, director VARCHAR)", "sql_query": "select producer from table_name_32 where director = 'bona fajardo'", "question": "What is Director Bona Fajardo's Producer?", "data_table": "{\n  \"table_name_32\": [\n    {\n      \"producer\": \"john smith\",\n      \"director\": \"bona fajardo\"\n    },\n    {\n      \"producer\": \"jane doe\",\n      \"director\": \"bona fajardo\"\n    },\n    {\n      \"producer\": \"michael johnson\",\n      \"director\": \"john doe\"\n    },\n    {\n      \"producer\": \"emily brown\",\n      \"director\": \"john doe\"\n    },\n    {\n      \"producer\": \"david wilson\",\n      \"director\": \"steven spielberg\"\n    },\n    {\n      \"producer\": \"sarah thompson\",\n      \"director\": \"steven spielberg\"\n    },\n    {\n      \"producer\": \"robert davis\",\n      \"director\": \"christopher nolan\"\n    },\n    {\n      \"producer\": \"jennifer lee\",\n      \"director\": \"christopher nolan\"\n    },\n    {\n      \"producer\": \"daniel harris\",\n      \"director\": \"martin scorsese\"\n    },\n    {\n      \"producer\": \"laura turner\",\n      \"director\": \"martin scorsese\"\n    }\n  ]\n}", "idx": 31335}
{"context": "CREATE TABLE table_name_72 (frequency VARCHAR, sspec_number VARCHAR)", "sql_query": "select frequency from table_name_72 where sspec_number = 'sl5qj'", "question": "What is the frequency of the model with sSpec number sl5qj?", "data_table": "{\n  \"table_name_72\": [\n    {\n      \"frequency\": \"100 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"200 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"300 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"400 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"500 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"600 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"700 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"800 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"900 hz\",\n      \"sspec_number\": \"sl5qj\"\n    },\n    {\n      \"frequency\": \"1000 hz\",\n      \"sspec_number\": \"sl5qj\"\n    }\n  ]\n}", "idx": 31336}
{"context": "CREATE TABLE table_name_94 (agg VARCHAR, team_2 VARCHAR)", "sql_query": "select agg from table_name_94 where team_2 = 'cementarnica'", "question": "What is the agg when team 2 was Cementarnica?", "data_table": "{\n  \"table_name_94\": [\n    {\n      \"agg\": \"sum\",\n      \"team_2\": \"cementarnica\"\n    },\n    {\n      \"agg\": \"avg\",\n      \"team_2\": \"cementarnica\"\n    },\n    {\n      \"agg\": \"count\",\n      \"team_2\": \"cementarnica\"\n    },\n    {\n      \"agg\": \"min\",\n      \"team_2\": \"cementarnica\"\n    },\n    {\n      \"agg\": \"max\",\n      \"team_2\": \"cementarnica\"\n    },\n    {\n      \"agg\": \"sum\",\n      \"team_2\": \"barcelona\"\n    },\n    {\n      \"agg\": \"avg\",\n      \"team_2\": \"barcelona\"\n    },\n    {\n      \"agg\": \"count\",\n      \"team_2\": \"barcelona\"\n    },\n    {\n      \"agg\": \"min\",\n      \"team_2\": \"barcelona\"\n    },\n    {\n      \"agg\": \"max\",\n      \"team_2\": \"barcelona\"\n    }\n  ]\n}", "idx": 31338}
{"context": "CREATE TABLE table_name_37 (date VARCHAR, result VARCHAR, venue VARCHAR)", "sql_query": "select date from table_name_37 where result = 'draw' and venue = 'edgbaston'", "question": "Name the date for result of draw, and venue of edgbaston", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"result\": \"win\",\n      \"venue\": \"edgbaston\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"result\": \"loss\",\n      \"venue\": \"lords\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"result\": \"draw\",\n      \"venue\": \"edgbaston\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"result\": \"win\",\n      \"venue\": \"old trafford\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"result\": \"draw\",\n      \"venue\": \"lords\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"result\": \"loss\",\n      \"venue\": \"edgbaston\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"result\": \"win\",\n      \"venue\": \"lords\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"result\": \"draw\",\n      \"venue\": \"old trafford\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"result\": \"loss\",\n      \"venue\": \"lords\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"result\": \"win\",\n      \"venue\": \"edgbaston\"\n    }\n  ]\n}", "idx": 31339}
{"context": "CREATE TABLE table_name_81 (bronze VARCHAR, location VARCHAR)", "sql_query": "select bronze from table_name_81 where location = 'busan'", "question": "Who was the bronze medal when the Asian Games were held in Busan?", "data_table": "{\n  \"table_name_81\": [\n    {\n      \"bronze\": \"gold\",\n      \"location\": \"seoul\"\n    },\n    {\n      \"bronze\": \"silver\",\n      \"location\": \"busan\"\n    },\n    {\n      \"bronze\": \"bronze\",\n      \"location\": \"daegu\"\n    },\n    {\n      \"bronze\": \"gold\",\n      \"location\": \"busan\"\n    },\n    {\n      \"bronze\": \"silver\",\n      \"location\": \"seoul\"\n    },\n    {\n      \"bronze\": \"bronze\",\n      \"location\": \"busan\"\n    },\n    {\n      \"bronze\": \"gold\",\n      \"location\": \"daegu\"\n    },\n    {\n      \"bronze\": \"silver\",\n      \"location\": \"seoul\"\n    },\n    {\n      \"bronze\": \"bronze\",\n      \"location\": \"busan\"\n    },\n    {\n      \"bronze\": \"gold\",\n      \"location\": \"seoul\"\n    }\n  ]\n}", "idx": 31340}
{"context": "CREATE TABLE table_name_95 (visitor VARCHAR, home VARCHAR, date VARCHAR)", "sql_query": "select visitor from table_name_95 where home = 'detroit' and date = 'april 22'", "question": "Who has  a Home of detroit on  april 22?", "data_table": "{\n  \"table_name_95\": [\n    {\n      \"visitor\": \"john\",\n      \"home\": \"detroit\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"emily\",\n      \"home\": \"new york\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"michael\",\n      \"home\": \"chicago\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"sarah\",\n      \"home\": \"los angeles\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"david\",\n      \"home\": \"san francisco\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"jessica\",\n      \"home\": \"seattle\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"daniel\",\n      \"home\": \"boston\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"olivia\",\n      \"home\": \"miami\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"william\",\n      \"home\": \"houston\",\n      \"date\": \"april 22\"\n    },\n    {\n      \"visitor\": \"sophia\",\n      \"home\": \"atlanta\",\n      \"date\": \"april 22\"\n    }\n  ]\n}", "idx": 31341}
{"context": "CREATE TABLE table_name_37 (player VARCHAR, place VARCHAR, country VARCHAR)", "sql_query": "select player from table_name_37 where place = 't1' and country = 'scotland'", "question": "Who placed t1 in Scotland?", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"player\": \"john\",\n      \"place\": \"t1\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"sarah\",\n      \"place\": \"t2\",\n      \"country\": \"england\"\n    },\n    {\n      \"player\": \"michael\",\n      \"place\": \"t1\",\n      \"country\": \"ireland\"\n    },\n    {\n      \"player\": \"emily\",\n      \"place\": \"t3\",\n      \"country\": \"wales\"\n    },\n    {\n      \"player\": \"david\",\n      \"place\": \"t2\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"sophia\",\n      \"place\": \"t1\",\n      \"country\": \"england\"\n    },\n    {\n      \"player\": \"james\",\n      \"place\": \"t3\",\n      \"country\": \"ireland\"\n    },\n    {\n      \"player\": \"olivia\",\n      \"place\": \"t2\",\n      \"country\": \"wales\"\n    },\n    {\n      \"player\": \"daniel\",\n      \"place\": \"t1\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"emma\",\n      \"place\": \"t3\",\n      \"country\": \"england\"\n    }\n  ]\n}", "idx": 31344}
{"context": "CREATE TABLE table_name_75 (games VARCHAR, name VARCHAR)", "sql_query": "select count(games) from table_name_75 where name = 'shlomi avrahami'", "question": "What is the number of games for Shlomi Avrahami?", "data_table": "{\n  \"table_name_75\": [\n    {\n      \"games\": \"chess\",\n      \"name\": \"john doe\"\n    },\n    {\n      \"games\": \"poker\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"games\": \"monopoly\",\n      \"name\": \"john doe\"\n    },\n    {\n      \"games\": \"scrabble\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"games\": \"checkers\",\n      \"name\": \"john doe\"\n    },\n    {\n      \"games\": \"backgammon\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"games\": \"chess\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"games\": \"poker\",\n      \"name\": \"john doe\"\n    },\n    {\n      \"games\": \"monopoly\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"games\": \"scrabble\",\n      \"name\": \"john doe\"\n    }\n  ]\n}", "idx": 31345}
{"context": "CREATE TABLE college (enr INTEGER, cName VARCHAR, pPos VARCHAR); CREATE TABLE tryout (enr INTEGER, cName VARCHAR, pPos VARCHAR)", "sql_query": "select sum(enr) from college where not cname in (select cname from tryout where ppos = 'goalie')", "question": "What is the total number of enrollment of schools that do not have any goalie player?", "data_table": "{\n  \"college\": [\n    {\n      \"enr\": 123,\n      \"cname\": \"university a\",\n      \"ppos\": \"forward\"\n    },\n    {\n      \"enr\": 456,\n      \"cname\": \"university b\",\n      \"ppos\": \"defense\"\n    },\n    {\n      \"enr\": 789,\n      \"cname\": \"university c\",\n      \"ppos\": \"goalie\"\n    },\n    {\n      \"enr\": 234,\n      \"cname\": \"university d\",\n      \"ppos\": \"forward\"\n    },\n    {\n      \"enr\": 567,\n      \"cname\": \"university e\",\n      \"ppos\": \"midfield\"\n    },\n    {\n      \"enr\": 890,\n      \"cname\": \"university f\",\n      \"ppos\": \"forward\"\n    },\n    {\n      \"enr\": 345,\n      \"cname\": \"university g\",\n      \"ppos\": \"defense\"\n    },\n    {\n      \"enr\": 678,\n      \"cname\": \"university h\",\n      \"ppos\": \"goalie\"\n    },\n    {\n      \"enr\": 901,\n      \"cname\": \"university i\",\n      \"ppos\": \"midfield\"\n    },\n    {\n      \"enr\": 123,\n      \"cname\": \"university j\",\n      \"ppos\": \"forward\"\n    }\n  ],\n  \"tryout\": [\n    {\n      \"enr\": 123,\n      \"cname\": \"university a\",\n      \"ppos\": \"goalie\"\n    },\n    {\n      \"enr\": 456,\n      \"cname\": \"university b\",\n      \"ppos\": \"forward\"\n    },\n    {\n      \"enr\": 789,\n      \"cname\": \"university c\",\n      \"ppos\": \"defense\"\n    },\n    {\n      \"enr\": 234,\n      \"cname\": \"university d\",\n      \"ppos\": \"midfield\"\n    },\n    {\n      \"enr\": 567,\n      \"cname\": \"university e\",\n      \"ppos\": \"forward\"\n    },\n    {\n      \"enr\": 890,\n      \"cname\": \"university f\",\n      \"ppos\": \"defense\"\n    },\n    {\n      \"enr\": 345,\n      \"cname\": \"university g\",\n      \"ppos\": \"goalie\"\n    },\n    {\n      \"enr\": 678,\n      \"cname\": \"university h\",\n      \"ppos\": \"midfield\"\n    },\n    {\n      \"enr\": 901,\n      \"cname\": \"university i\",\n      \"ppos\": \"forward\"\n    },\n    {\n      \"enr\": 234,\n      \"cname\": \"university j\",\n      \"ppos\": \"defense\"\n    }\n  ]\n}", "idx": 31347}
{"context": "CREATE TABLE table_name_27 (game INTEGER, score VARCHAR)", "sql_query": "select avg(game) from table_name_27 where score = '89-91'", "question": "What game has a score of 89-91?", "data_table": "{\n  \"table_name_27\": [\n    {\n      \"game\": 1,\n      \"score\": \"89-91\"\n    },\n    {\n      \"game\": 2,\n      \"score\": \"85-90\"\n    },\n    {\n      \"game\": 3,\n      \"score\": \"92-88\"\n    },\n    {\n      \"game\": 4,\n      \"score\": \"87-93\"\n    },\n    {\n      \"game\": 5,\n      \"score\": \"90-86\"\n    },\n    {\n      \"game\": 6,\n      \"score\": \"88-92\"\n    },\n    {\n      \"game\": 7,\n      \"score\": \"91-89\"\n    },\n    {\n      \"game\": 8,\n      \"score\": \"86-90\"\n    },\n    {\n      \"game\": 9,\n      \"score\": \"93-87\"\n    },\n    {\n      \"game\": 10,\n      \"score\": \"89-91\"\n    }\n  ]\n}", "idx": 31348}
{"context": "CREATE TABLE table_name_22 (result_f___a VARCHAR, round VARCHAR)", "sql_query": "select result_f___a from table_name_22 where round = 'round 5'", "question": "What was the result F-A for round 5?", "data_table": "{\n  \"table_name_22\": [\n    {\n      \"result_f___a\": \"value1\",\n      \"round\": \"round 1\"\n    },\n    {\n      \"result_f___a\": \"value2\",\n      \"round\": \"round 2\"\n    },\n    {\n      \"result_f___a\": \"value3\",\n      \"round\": \"round 3\"\n    },\n    {\n      \"result_f___a\": \"value4\",\n      \"round\": \"round 4\"\n    },\n    {\n      \"result_f___a\": \"value5\",\n      \"round\": \"round 5\"\n    },\n    {\n      \"result_f___a\": \"value6\",\n      \"round\": \"round 6\"\n    },\n    {\n      \"result_f___a\": \"value7\",\n      \"round\": \"round 7\"\n    },\n    {\n      \"result_f___a\": \"value8\",\n      \"round\": \"round 8\"\n    },\n    {\n      \"result_f___a\": \"value9\",\n      \"round\": \"round 9\"\n    },\n    {\n      \"result_f___a\": \"value10\",\n      \"round\": \"round 10\"\n    }\n  ]\n}", "idx": 31350}
{"context": "CREATE TABLE table_22014431_3 (rank INTEGER, tosses_pyramids VARCHAR)", "sql_query": "select max(rank) from table_22014431_3 where tosses_pyramids = '64.5'", "question": "What is the rank when 64.5 is tosses/pyramids?", "data_table": "{\n  \"table_22014431_3\": [\n    {\n      \"rank\": 1,\n      \"tosses_pyramids\": \"64.5\"\n    },\n    {\n      \"rank\": 2,\n      \"tosses_pyramids\": \"32.1\"\n    },\n    {\n      \"rank\": 3,\n      \"tosses_pyramids\": \"12.7\"\n    },\n    {\n      \"rank\": 4,\n      \"tosses_pyramids\": \"45.3\"\n    },\n    {\n      \"rank\": 5,\n      \"tosses_pyramids\": \"18.9\"\n    },\n    {\n      \"rank\": 6,\n      \"tosses_pyramids\": \"27.6\"\n    },\n    {\n      \"rank\": 7,\n      \"tosses_pyramids\": \"56.2\"\n    },\n    {\n      \"rank\": 8,\n      \"tosses_pyramids\": \"39.8\"\n    },\n    {\n      \"rank\": 9,\n      \"tosses_pyramids\": \"23.4\"\n    },\n    {\n      \"rank\": 10,\n      \"tosses_pyramids\": \"50.7\"\n    }\n  ]\n}", "idx": 31351}
{"context": "CREATE TABLE table_name_62 (score VARCHAR, visitor VARCHAR, home VARCHAR)", "sql_query": "select score from table_name_62 where visitor = 'new jersey' and home = 'toronto'", "question": "What was the score when the home team, Toronto, played against New Jersey?", "data_table": "{\n  \"table_name_62\": [\n    {\n      \"score\": \"3-2\",\n      \"visitor\": \"new jersey\",\n      \"home\": \"toronto\"\n    },\n    {\n      \"score\": \"1-4\",\n      \"visitor\": \"new york\",\n      \"home\": \"boston\"\n    },\n    {\n      \"score\": \"2-1\",\n      \"visitor\": \"chicago\",\n      \"home\": \"detroit\"\n    },\n    {\n      \"score\": \"0-3\",\n      \"visitor\": \"los angeles\",\n      \"home\": \"san jose\"\n    },\n    {\n      \"score\": \"2-2\",\n      \"visitor\": \"vancouver\",\n      \"home\": \"calgary\"\n    },\n    {\n      \"score\": \"4-1\",\n      \"visitor\": \"montreal\",\n      \"home\": \"ottawa\"\n    },\n    {\n      \"score\": \"3-0\",\n      \"visitor\": \"washington\",\n      \"home\": \"philadelphia\"\n    },\n    {\n      \"score\": \"2-3\",\n      \"visitor\": \"pittsburgh\",\n      \"home\": \"new york\"\n    },\n    {\n      \"score\": \"1-2\",\n      \"visitor\": \"dallas\",\n      \"home\": \"minnesota\"\n    },\n    {\n      \"score\": \"5-4\",\n      \"visitor\": \"edmonton\",\n      \"home\": \"colorado\"\n    }\n  ]\n}", "idx": 31352}
{"context": "CREATE TABLE table_name_21 (result VARCHAR, streak VARCHAR)", "sql_query": "select result from table_name_21 where streak = 'won 6'", "question": "what's the result with streak of won 6?", "data_table": "{\n  \"table_name_21\": [\n    {\n      \"result\": \"won\",\n      \"streak\": \"won 6\"\n    },\n    {\n      \"result\": \"lost\",\n      \"streak\": \"lost 3\"\n    },\n    {\n      \"result\": \"won\",\n      \"streak\": \"won 2\"\n    },\n    {\n      \"result\": \"lost\",\n      \"streak\": \"lost 1\"\n    },\n    {\n      \"result\": \"won\",\n      \"streak\": \"won 4\"\n    },\n    {\n      \"result\": \"lost\",\n      \"streak\": \"lost 2\"\n    },\n    {\n      \"result\": \"won\",\n      \"streak\": \"won 3\"\n    },\n    {\n      \"result\": \"lost\",\n      \"streak\": \"lost 4\"\n    },\n    {\n      \"result\": \"won\",\n      \"streak\": \"won 5\"\n    },\n    {\n      \"result\": \"lost\",\n      \"streak\": \"lost 5\"\n    }\n  ]\n}", "idx": 31353}
{"context": "CREATE TABLE captain (name VARCHAR, age VARCHAR)", "sql_query": "select name from captain order by age limit 1", "question": "What is the name of the youngest captain?", "data_table": "{\n  \"captain\": [\n    {\n      \"name\": \"john\",\n      \"age\": \"30\"\n    },\n    {\n      \"name\": \"sarah\",\n      \"age\": \"25\"\n    },\n    {\n      \"name\": \"michael\",\n      \"age\": \"35\"\n    },\n    {\n      \"name\": \"emily\",\n      \"age\": \"28\"\n    },\n    {\n      \"name\": \"david\",\n      \"age\": \"32\"\n    },\n    {\n      \"name\": \"jessica\",\n      \"age\": \"27\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"age\": \"31\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"age\": \"29\"\n    },\n    {\n      \"name\": \"matthew\",\n      \"age\": \"33\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"age\": \"26\"\n    }\n  ]\n}", "idx": 31354}
{"context": "CREATE TABLE table_name_79 (opponent VARCHAR, record VARCHAR)", "sql_query": "select opponent from table_name_79 where record = '39-19'", "question": "What is the name of the Opponent when there is a Record of 39-19?", "data_table": "{\n  \"table_name_79\": [\n    {\n      \"opponent\": \"team a\",\n      \"record\": \"39-19\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"record\": \"12-46\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"record\": \"39-19\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"record\": \"25-33\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"record\": \"39-19\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"record\": \"18-24\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"record\": \"39-19\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"record\": \"31-27\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"record\": \"39-19\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"record\": \"15-37\"\n    }\n  ]\n}", "idx": 31355}
{"context": "CREATE TABLE table_19930660_3 (first_broadcast VARCHAR, episode VARCHAR)", "sql_query": "select first_broadcast from table_19930660_3 where episode = '3x10'", "question": "What is the first broadcast date for episode 3x10?", "data_table": "{\n  \"table_19930660_3\": [\n    {\n      \"first_broadcast\": \"2020-01-01\",\n      \"episode\": \"1x01\"\n    },\n    {\n      \"first_broadcast\": \"2019-05-15\",\n      \"episode\": \"2x05\"\n    },\n    {\n      \"first_broadcast\": \"2018-09-30\",\n      \"episode\": \"3x10\"\n    },\n    {\n      \"first_broadcast\": \"2021-07-20\",\n      \"episode\": \"4x03\"\n    },\n    {\n      \"first_broadcast\": \"2017-11-12\",\n      \"episode\": \"5x08\"\n    },\n    {\n      \"first_broadcast\": \"2019-03-25\",\n      \"episode\": \"6x02\"\n    },\n    {\n      \"first_broadcast\": \"2022-02-14\",\n      \"episode\": \"7x12\"\n    },\n    {\n      \"first_broadcast\": \"2016-08-05\",\n      \"episode\": \"8x09\"\n    },\n    {\n      \"first_broadcast\": \"2020-11-30\",\n      \"episode\": \"9x06\"\n    },\n    {\n      \"first_broadcast\": \"2018-04-18\",\n      \"episode\": \"10x15\"\n    }\n  ]\n}", "idx": 31356}
{"context": "CREATE TABLE table_20466963_9 (guest_1 VARCHAR, guest_4 VARCHAR)", "sql_query": "select count(guest_1) from table_20466963_9 where guest_4 = 'des kelly'", "question": "How many people are guest 1 on episodes where guest 4 is Des Kelly?", "data_table": "{\n  \"table_20466963_9\": [\n    {\n      \"guest_1\": \"john\",\n      \"guest_4\": \"des kelly\"\n    },\n    {\n      \"guest_1\": \"sarah\",\n      \"guest_4\": \"des kelly\"\n    },\n    {\n      \"guest_1\": \"michael\",\n      \"guest_4\": \"john doe\"\n    },\n    {\n      \"guest_1\": \"emily\",\n      \"guest_4\": \"john doe\"\n    },\n    {\n      \"guest_1\": \"david\",\n      \"guest_4\": \"jane smith\"\n    },\n    {\n      \"guest_1\": \"jessica\",\n      \"guest_4\": \"jane smith\"\n    },\n    {\n      \"guest_1\": \"daniel\",\n      \"guest_4\": \"mike brown\"\n    },\n    {\n      \"guest_1\": \"olivia\",\n      \"guest_4\": \"mike brown\"\n    },\n    {\n      \"guest_1\": \"matthew\",\n      \"guest_4\": \"alex jones\"\n    },\n    {\n      \"guest_1\": \"sophia\",\n      \"guest_4\": \"alex jones\"\n    }\n  ]\n}", "idx": 31357}
{"context": "CREATE TABLE table_22355_23 (total_min_2_medals_ INTEGER)", "sql_query": "select min(total_min_2_medals_) from table_22355_23", "question": "What is the least amount of total medals won?", "data_table": "{\n  \"table_22355_23\": [\n    {\n      \"total_min_2_medals_\": 10\n    },\n    {\n      \"total_min_2_medals_\": 15\n    },\n    {\n      \"total_min_2_medals_\": 20\n    },\n    {\n      \"total_min_2_medals_\": 25\n    },\n    {\n      \"total_min_2_medals_\": 30\n    },\n    {\n      \"total_min_2_medals_\": 35\n    },\n    {\n      \"total_min_2_medals_\": 40\n    },\n    {\n      \"total_min_2_medals_\": 45\n    },\n    {\n      \"total_min_2_medals_\": 50\n    },\n    {\n      \"total_min_2_medals_\": 55\n    }\n  ]\n}", "idx": 31359}
{"context": "CREATE TABLE table_1447085_1 (median_house__hold_income VARCHAR, place VARCHAR)", "sql_query": "select median_house__hold_income from table_1447085_1 where place = 'woodside'", "question": "What is the median household income for Woodside?", "data_table": "{\n  \"table_1447085_1\": [\n    {\n      \"median_house__hold_income\": \"50000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"60000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"70000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"80000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"90000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"100000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"110000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"120000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"130000\",\n      \"place\": \"woodside\"\n    },\n    {\n      \"median_house__hold_income\": \"140000\",\n      \"place\": \"woodside\"\n    }\n  ]\n}", "idx": 31360}
{"context": "CREATE TABLE table_name_70 (year VARCHAR, film VARCHAR)", "sql_query": "select year from table_name_70 where film = 'your national gallery'", "question": "In what Year was the Film Your National Gallery winner?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"year\": \"2015\",\n      \"film\": \"your national gallery\"\n    },\n    {\n      \"year\": \"2016\",\n      \"film\": \"the art of storytelling\"\n    },\n    {\n      \"year\": \"2017\",\n      \"film\": \"brush strokes\"\n    },\n    {\n      \"year\": \"2018\",\n      \"film\": \"the masterpiece\"\n    },\n    {\n      \"year\": \"2019\",\n      \"film\": \"canvas dreams\"\n    },\n    {\n      \"year\": \"2020\",\n      \"film\": \"the color palette\"\n    },\n    {\n      \"year\": \"2021\",\n      \"film\": \"the portrait's tale\"\n    },\n    {\n      \"year\": \"2022\",\n      \"film\": \"the gallery's secrets\"\n    },\n    {\n      \"year\": \"2023\",\n      \"film\": \"the artistic journey\"\n    },\n    {\n      \"year\": \"2024\",\n      \"film\": \"the brush's dance\"\n    }\n  ]\n}", "idx": 31361}
{"context": "CREATE TABLE table_name_42 (weight VARCHAR, _dimensions VARCHAR, model VARCHAR)", "sql_query": "select weight, _dimensions from table_name_42 where model = 'n800'", "question": "What is the weight and dimensions of an N800?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"weight\": \"10 lbs\",\n      \"_dimensions\": \"5x5x5\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"5 lbs\",\n      \"_dimensions\": \"3x3x3\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"8 lbs\",\n      \"_dimensions\": \"4x4x4\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"12 lbs\",\n      \"_dimensions\": \"6x6x6\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"7 lbs\",\n      \"_dimensions\": \"3x4x5\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"9 lbs\",\n      \"_dimensions\": \"4x5x6\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"6 lbs\",\n      \"_dimensions\": \"2x3x4\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"11 lbs\",\n      \"_dimensions\": \"5x6x7\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"8.5 lbs\",\n      \"_dimensions\": \"4x4x5\",\n      \"model\": \"n800\"\n    },\n    {\n      \"weight\": \"9.5 lbs\",\n      \"_dimensions\": \"4x5x5\",\n      \"model\": \"n800\"\n    }\n  ]\n}", "idx": 31363}
{"context": "CREATE TABLE table_name_30 (crowd INTEGER, venue VARCHAR)", "sql_query": "select sum(crowd) from table_name_30 where venue = 'junction oval'", "question": "How big was the crowd size, at the Junction Oval venue?", "data_table": "{\n  \"table_name_30\": [\n    {\n      \"crowd\": 1000,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 500,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 800,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 1200,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 1500,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 700,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 900,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 1100,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 600,\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"crowd\": 1300,\n      \"venue\": \"junction oval\"\n    }\n  ]\n}", "idx": 31364}
{"context": "CREATE TABLE table_name_24 (unwto_region VARCHAR, country VARCHAR)", "sql_query": "select unwto_region from table_name_24 where country = 'italy'", "question": "What is Italy's UNWTO region?", "data_table": "{\n  \"table_name_24\": [\n    {\n      \"unwto_region\": \"europe\",\n      \"country\": \"italy\"\n    },\n    {\n      \"unwto_region\": \"asia\",\n      \"country\": \"china\"\n    },\n    {\n      \"unwto_region\": \"africa\",\n      \"country\": \"egypt\"\n    },\n    {\n      \"unwto_region\": \"americas\",\n      \"country\": \"united states\"\n    },\n    {\n      \"unwto_region\": \"europe\",\n      \"country\": \"france\"\n    },\n    {\n      \"unwto_region\": \"asia\",\n      \"country\": \"japan\"\n    },\n    {\n      \"unwto_region\": \"africa\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"unwto_region\": \"americas\",\n      \"country\": \"canada\"\n    },\n    {\n      \"unwto_region\": \"europe\",\n      \"country\": \"spain\"\n    },\n    {\n      \"unwto_region\": \"asia\",\n      \"country\": \"india\"\n    }\n  ]\n}", "idx": 31365}
{"context": "CREATE TABLE table_10812403_4 (college VARCHAR, player VARCHAR)", "sql_query": "select college from table_10812403_4 where player = 'calvin mccarty'", "question": "What college did Calvin McCarty play at?", "data_table": "{\n  \"table_10812403_4\": [\n    {\n      \"college\": \"university of alabama\",\n      \"player\": \"calvin mccarty\"\n    },\n    {\n      \"college\": \"ohio state university\",\n      \"player\": \"john doe\"\n    },\n    {\n      \"college\": \"university of texas\",\n      \"player\": \"jane smith\"\n    },\n    {\n      \"college\": \"university of florida\",\n      \"player\": \"mike johnson\"\n    },\n    {\n      \"college\": \"university of southern california\",\n      \"player\": \"sarah davis\"\n    },\n    {\n      \"college\": \"university of michigan\",\n      \"player\": \"david wilson\"\n    },\n    {\n      \"college\": \"clemson university\",\n      \"player\": \"emily thompson\"\n    },\n    {\n      \"college\": \"university of georgia\",\n      \"player\": \"robert brown\"\n    },\n    {\n      \"college\": \"university of oklahoma\",\n      \"player\": \"olivia anderson\"\n    },\n    {\n      \"college\": \"university of notre dame\",\n      \"player\": \"michael johnson\"\n    }\n  ]\n}", "idx": 31367}
{"context": "CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customer_contact_channels (active_to_date INTEGER, customer_id VARCHAR)", "sql_query": "select max(t2.active_to_date) from customers as t1 join customer_contact_channels as t2 on t1.customer_id = t2.customer_id where t1.customer_name = 'tillman ernser'", "question": "What is the \"active to date\" of the latest contact channel used by \"Tillman Ernser\"?", "data_table": "{\n  \"customers\": [\n    {\n      \"customer_id\": \"1\",\n      \"customer_name\": \"john doe\"\n    },\n    {\n      \"customer_id\": \"2\",\n      \"customer_name\": \"jane smith\"\n    },\n    {\n      \"customer_id\": \"3\",\n      \"customer_name\": \"michael johnson\"\n    },\n    {\n      \"customer_id\": \"4\",\n      \"customer_name\": \"emily davis\"\n    },\n    {\n      \"customer_id\": \"5\",\n      \"customer_name\": \"robert wilson\"\n    },\n    {\n      \"customer_id\": \"6\",\n      \"customer_name\": \"sarah brown\"\n    },\n    {\n      \"customer_id\": \"7\",\n      \"customer_name\": \"david taylor\"\n    },\n    {\n      \"customer_id\": \"8\",\n      \"customer_name\": \"jennifer anderson\"\n    },\n    {\n      \"customer_id\": \"9\",\n      \"customer_name\": \"william martinez\"\n    },\n    {\n      \"customer_id\": \"10\",\n      \"customer_name\": \"olivia thompson\"\n    }\n  ],\n  \"customer_contact_channels\": [\n    {\n      \"active_to_date\": 20220101,\n      \"customer_id\": \"1\"\n    },\n    {\n      \"active_to_date\": 20220102,\n      \"customer_id\": \"2\"\n    },\n    {\n      \"active_to_date\": 20220103,\n      \"customer_id\": \"3\"\n    },\n    {\n      \"active_to_date\": 20220104,\n      \"customer_id\": \"4\"\n    },\n    {\n      \"active_to_date\": 20220105,\n      \"customer_id\": \"5\"\n    },\n    {\n      \"active_to_date\": 20220106,\n      \"customer_id\": \"6\"\n    },\n    {\n      \"active_to_date\": 20220107,\n      \"customer_id\": \"7\"\n    },\n    {\n      \"active_to_date\": 20220108,\n      \"customer_id\": \"8\"\n    },\n    {\n      \"active_to_date\": 20220109,\n      \"customer_id\": \"9\"\n    },\n    {\n      \"active_to_date\": 20220110,\n      \"customer_id\": \"10\"\n    }\n  ]\n}", "idx": 31368}
{"context": "CREATE TABLE table_name_63 (record VARCHAR, date VARCHAR)", "sql_query": "select record from table_name_63 where date = 'april 7'", "question": "What was the record on April 7?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"record\": \"data1\",\n      \"date\": \"april 7\"\n    },\n    {\n      \"record\": \"data2\",\n      \"date\": \"april 7\"\n    },\n    {\n      \"record\": \"data3\",\n      \"date\": \"april 8\"\n    },\n    {\n      \"record\": \"data4\",\n      \"date\": \"april 8\"\n    },\n    {\n      \"record\": \"data5\",\n      \"date\": \"april 9\"\n    },\n    {\n      \"record\": \"data6\",\n      \"date\": \"april 9\"\n    },\n    {\n      \"record\": \"data7\",\n      \"date\": \"april 10\"\n    },\n    {\n      \"record\": \"data8\",\n      \"date\": \"april 10\"\n    },\n    {\n      \"record\": \"data9\",\n      \"date\": \"april 11\"\n    },\n    {\n      \"record\": \"data10\",\n      \"date\": \"april 11\"\n    }\n  ]\n}", "idx": 31369}
{"context": "CREATE TABLE table_name_66 (location VARCHAR, record VARCHAR, method VARCHAR, result VARCHAR)", "sql_query": "select location from table_name_66 where method = 'ko' and result = 'win' and record = '2-0'", "question": "What is the location when KO is the method, the result is a win, and the record is 2-0?", "data_table": "{\n  \"table_name_66\": [\n    {\n      \"location\": \"new york\",\n      \"record\": \"2-0\",\n      \"method\": \"ko\",\n      \"result\": \"win\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"record\": \"1-1\",\n      \"method\": \"submission\",\n      \"result\": \"loss\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"record\": \"3-2\",\n      \"method\": \"decision\",\n      \"result\": \"win\"\n    },\n    {\n      \"location\": \"miami\",\n      \"record\": \"0-3\",\n      \"method\": \"ko\",\n      \"result\": \"loss\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"record\": \"2-1\",\n      \"method\": \"submission\",\n      \"result\": \"win\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"record\": \"1-2\",\n      \"method\": \"decision\",\n      \"result\": \"loss\"\n    },\n    {\n      \"location\": \"boston\",\n      \"record\": \"3-0\",\n      \"method\": \"ko\",\n      \"result\": \"win\"\n    },\n    {\n      \"location\": \"houston\",\n      \"record\": \"2-2\",\n      \"method\": \"submission\",\n      \"result\": \"loss\"\n    },\n    {\n      \"location\": \"denver\",\n      \"record\": \"1-3\",\n      \"method\": \"decision\",\n      \"result\": \"win\"\n    },\n    {\n      \"location\": \"phoenix\",\n      \"record\": \"0-2\",\n      \"method\": \"ko\",\n      \"result\": \"loss\"\n    }\n  ]\n}", "idx": 31370}
{"context": "CREATE TABLE table_name_46 (listed VARCHAR, built VARCHAR)", "sql_query": "select listed from table_name_46 where built = 'ca.1876'", "question": "What is the date Listed of the Bridge Built CA.1876?", "data_table": "{\n  \"table_name_46\": [\n    {\n      \"listed\": \"victorian\",\n      \"built\": \"ca.1876\"\n    },\n    {\n      \"listed\": \"colonial\",\n      \"built\": \"ca.1876\"\n    },\n    {\n      \"listed\": \"craftsman\",\n      \"built\": \"ca.1902\"\n    },\n    {\n      \"listed\": \"tudor\",\n      \"built\": \"ca.1902\"\n    },\n    {\n      \"listed\": \"ranch\",\n      \"built\": \"ca.1950\"\n    },\n    {\n      \"listed\": \"contemporary\",\n      \"built\": \"ca.1950\"\n    },\n    {\n      \"listed\": \"mediterranean\",\n      \"built\": \"ca.1920\"\n    },\n    {\n      \"listed\": \"cottage\",\n      \"built\": \"ca.1920\"\n    },\n    {\n      \"listed\": \"bungalow\",\n      \"built\": \"ca.1915\"\n    },\n    {\n      \"listed\": \"farmhouse\",\n      \"built\": \"ca.1915\"\n    }\n  ]\n}", "idx": 31371}
{"context": "CREATE TABLE table_name_99 (week INTEGER, date VARCHAR)", "sql_query": "select max(week) from table_name_99 where date = 'november 5, 1978'", "question": "What's the most recent week for the day of November 5, 1978?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"week\": 1,\n      \"date\": \"november 1, 1978\"\n    },\n    {\n      \"week\": 2,\n      \"date\": \"november 2, 1978\"\n    },\n    {\n      \"week\": 3,\n      \"date\": \"november 3, 1978\"\n    },\n    {\n      \"week\": 4,\n      \"date\": \"november 4, 1978\"\n    },\n    {\n      \"week\": 5,\n      \"date\": \"november 5, 1978\"\n    },\n    {\n      \"week\": 6,\n      \"date\": \"november 6, 1978\"\n    },\n    {\n      \"week\": 7,\n      \"date\": \"november 7, 1978\"\n    },\n    {\n      \"week\": 8,\n      \"date\": \"november 8, 1978\"\n    },\n    {\n      \"week\": 9,\n      \"date\": \"november 9, 1978\"\n    },\n    {\n      \"week\": 10,\n      \"date\": \"november 10, 1978\"\n    }\n  ]\n}", "idx": 31372}
{"context": "CREATE TABLE table_name_51 (source_of_wealth VARCHAR, value VARCHAR)", "sql_query": "select source_of_wealth from table_name_51 where value = '\u00a35726m'", "question": "What source of wealth has a value of \u00a35726m?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"source_of_wealth\": \"technology\",\n      \"value\": \"\u00a35726m\"\n    },\n    {\n      \"source_of_wealth\": \"finance\",\n      \"value\": \"\u00a31000m\"\n    },\n    {\n      \"source_of_wealth\": \"real estate\",\n      \"value\": \"\u00a3200m\"\n    },\n    {\n      \"source_of_wealth\": \"manufacturing\",\n      \"value\": \"\u00a3500m\"\n    },\n    {\n      \"source_of_wealth\": \"entertainment\",\n      \"value\": \"\u00a3100m\"\n    },\n    {\n      \"source_of_wealth\": \"retail\",\n      \"value\": \"\u00a350m\"\n    },\n    {\n      \"source_of_wealth\": \"healthcare\",\n      \"value\": \"\u00a3300m\"\n    },\n    {\n      \"source_of_wealth\": \"energy\",\n      \"value\": \"\u00a3800m\"\n    },\n    {\n      \"source_of_wealth\": \"telecommunications\",\n      \"value\": \"\u00a3400m\"\n    },\n    {\n      \"source_of_wealth\": \"hospitality\",\n      \"value\": \"\u00a3150m\"\n    }\n  ]\n}", "idx": 31373}
{"context": "CREATE TABLE table_13336122_5 (original_air_date VARCHAR, written_by VARCHAR)", "sql_query": "select original_air_date from table_13336122_5 where written_by = 'vanessa reisen'", "question": "what is the original air date for the episoe written by vanessa reisen?", "data_table": "{\n  \"table_13336122_5\": [\n    {\n      \"original_air_date\": \"2022-01-01\",\n      \"written_by\": \"vanessa reisen\"\n    },\n    {\n      \"original_air_date\": \"2022-02-15\",\n      \"written_by\": \"john smith\"\n    },\n    {\n      \"original_air_date\": \"2022-03-10\",\n      \"written_by\": \"vanessa reisen\"\n    },\n    {\n      \"original_air_date\": \"2022-04-05\",\n      \"written_by\": \"michael jones\"\n    },\n    {\n      \"original_air_date\": \"2022-05-20\",\n      \"written_by\": \"vanessa reisen\"\n    },\n    {\n      \"original_air_date\": \"2022-06-12\",\n      \"written_by\": \"sarah thompson\"\n    },\n    {\n      \"original_air_date\": \"2022-07-18\",\n      \"written_by\": \"vanessa reisen\"\n    },\n    {\n      \"original_air_date\": \"2022-08-29\",\n      \"written_by\": \"david wilson\"\n    },\n    {\n      \"original_air_date\": \"2022-09-14\",\n      \"written_by\": \"vanessa reisen\"\n    },\n    {\n      \"original_air_date\": \"2022-10-30\",\n      \"written_by\": \"emily brown\"\n    }\n  ]\n}", "idx": 31374}
{"context": "CREATE TABLE table_name_37 (score VARCHAR, attendance VARCHAR)", "sql_query": "select score from table_name_37 where attendance = '1,125'", "question": "What is the score of the game with 1,125 people in attendance?", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"score\": \"85\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"92\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"78\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"90\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"88\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"95\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"82\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"87\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"79\",\n      \"attendance\": \"1,125\"\n    },\n    {\n      \"score\": \"93\",\n      \"attendance\": \"1,125\"\n    }\n  ]\n}", "idx": 31375}
{"context": "CREATE TABLE table_24496403_1 (completed VARCHAR, ship VARCHAR)", "sql_query": "select count(completed) from table_24496403_1 where ship = 'carysfort'", "question": "How many ships were named Carysfort?", "data_table": "{\n  \"table_24496403_1\": [\n    {\n      \"completed\": \"yes\",\n      \"ship\": \"carysfort\"\n    },\n    {\n      \"completed\": \"no\",\n      \"ship\": \"carysfort\"\n    },\n    {\n      \"completed\": \"yes\",\n      \"ship\": \"enterprise\"\n    },\n    {\n      \"completed\": \"no\",\n      \"ship\": \"enterprise\"\n    },\n    {\n      \"completed\": \"yes\",\n      \"ship\": \"discovery\"\n    },\n    {\n      \"completed\": \"no\",\n      \"ship\": \"discovery\"\n    },\n    {\n      \"completed\": \"yes\",\n      \"ship\": \"voyager\"\n    },\n    {\n      \"completed\": \"no\",\n      \"ship\": \"voyager\"\n    },\n    {\n      \"completed\": \"yes\",\n      \"ship\": \"defiant\"\n    },\n    {\n      \"completed\": \"no\",\n      \"ship\": \"defiant\"\n    }\n  ]\n}", "idx": 31376}
{"context": "CREATE TABLE table_name_50 (school VARCHAR, college_hall_of_fame VARCHAR)", "sql_query": "select school from table_name_50 where college_hall_of_fame = 'nevers hof profile'", "question": "What is the school of the player with a college hall of fame nevers hof profile?", "data_table": "{\n  \"table_name_50\": [\n    {\n      \"school\": \"university of california, berkeley\",\n      \"college_hall_of_fame\": \"nevers hof profile\"\n    },\n    {\n      \"school\": \"stanford university\",\n      \"college_hall_of_fame\": \"nevers hof profile\"\n    },\n    {\n      \"school\": \"university of michigan\",\n      \"college_hall_of_fame\": \"other hof profile\"\n    },\n    {\n      \"school\": \"university of texas at austin\",\n      \"college_hall_of_fame\": \"other hof profile\"\n    },\n    {\n      \"school\": \"university of alabama\",\n      \"college_hall_of_fame\": \"nevers hof profile\"\n    },\n    {\n      \"school\": \"university of notre dame\",\n      \"college_hall_of_fame\": \"other hof profile\"\n    },\n    {\n      \"school\": \"university of southern california\",\n      \"college_hall_of_fame\": \"nevers hof profile\"\n    },\n    {\n      \"school\": \"ohio state university\",\n      \"college_hall_of_fame\": \"other hof profile\"\n    },\n    {\n      \"school\": \"university of florida\",\n      \"college_hall_of_fame\": \"nevers hof profile\"\n    },\n    {\n      \"school\": \"university of oklahoma\",\n      \"college_hall_of_fame\": \"other hof profile\"\n    }\n  ]\n}", "idx": 31378}
{"context": "CREATE TABLE table_14520977_1 (record VARCHAR, result VARCHAR)", "sql_query": "select record from table_14520977_1 where result = 'l 24\u201322'", "question": "Name the record for l 24\u201322", "data_table": "{\n  \"table_14520977_1\": [\n    {\n      \"record\": \"data1\",\n      \"result\": \"l 24\u201322\"\n    },\n    {\n      \"record\": \"data2\",\n      \"result\": \"l 24\u201322\"\n    },\n    {\n      \"record\": \"data3\",\n      \"result\": \"w 18\u201315\"\n    },\n    {\n      \"record\": \"data4\",\n      \"result\": \"w 18\u201315\"\n    },\n    {\n      \"record\": \"data5\",\n      \"result\": \"l 24\u201322\"\n    },\n    {\n      \"record\": \"data6\",\n      \"result\": \"w 18\u201315\"\n    },\n    {\n      \"record\": \"data7\",\n      \"result\": \"l 24\u201322\"\n    },\n    {\n      \"record\": \"data8\",\n      \"result\": \"w 18\u201315\"\n    },\n    {\n      \"record\": \"data9\",\n      \"result\": \"l 24\u201322\"\n    },\n    {\n      \"record\": \"data10\",\n      \"result\": \"w 18\u201315\"\n    }\n  ]\n}", "idx": 31379}
{"context": "CREATE TABLE table_name_19 (call_sign VARCHAR, branding VARCHAR)", "sql_query": "select call_sign from table_name_19 where branding = '106.9 the x'", "question": "What is the Call sign of the Frequency 106.9 the X?", "data_table": "{\n  \"table_name_19\": [\n    {\n      \"call_sign\": \"abc123\",\n      \"branding\": \"106.9 the x\"\n    },\n    {\n      \"call_sign\": \"def456\",\n      \"branding\": \"107.5 the y\"\n    },\n    {\n      \"call_sign\": \"ghi789\",\n      \"branding\": \"104.3 the z\"\n    },\n    {\n      \"call_sign\": \"jkl012\",\n      \"branding\": \"106.9 the x\"\n    },\n    {\n      \"call_sign\": \"mno345\",\n      \"branding\": \"107.5 the y\"\n    },\n    {\n      \"call_sign\": \"pqr678\",\n      \"branding\": \"104.3 the z\"\n    },\n    {\n      \"call_sign\": \"stu901\",\n      \"branding\": \"106.9 the x\"\n    },\n    {\n      \"call_sign\": \"vwx234\",\n      \"branding\": \"107.5 the y\"\n    },\n    {\n      \"call_sign\": \"yza567\",\n      \"branding\": \"104.3 the z\"\n    },\n    {\n      \"call_sign\": \"bcd890\",\n      \"branding\": \"106.9 the x\"\n    }\n  ]\n}", "idx": 31380}
{"context": "CREATE TABLE table_name_21 (category VARCHAR, nominated VARCHAR)", "sql_query": "select category from table_name_21 where nominated = 'herself'", "question": "In what category was Herself nominated?", "data_table": "{\n  \"table_name_21\": [\n    {\n      \"category\": \"action\",\n      \"nominated\": \"himself\"\n    },\n    {\n      \"category\": \"comedy\",\n      \"nominated\": \"herself\"\n    },\n    {\n      \"category\": \"drama\",\n      \"nominated\": \"himself\"\n    },\n    {\n      \"category\": \"romance\",\n      \"nominated\": \"himself\"\n    },\n    {\n      \"category\": \"thriller\",\n      \"nominated\": \"herself\"\n    },\n    {\n      \"category\": \"action\",\n      \"nominated\": \"himself\"\n    },\n    {\n      \"category\": \"comedy\",\n      \"nominated\": \"himself\"\n    },\n    {\n      \"category\": \"drama\",\n      \"nominated\": \"herself\"\n    },\n    {\n      \"category\": \"romance\",\n      \"nominated\": \"himself\"\n    },\n    {\n      \"category\": \"thriller\",\n      \"nominated\": \"herself\"\n    }\n  ]\n}", "idx": 31381}
{"context": "CREATE TABLE Rooms (RoomId VARCHAR, roomName VARCHAR, basePrice VARCHAR)", "sql_query": "select roomid, roomname from rooms order by baseprice desc limit 3", "question": "Find the name and id of the top 3 expensive rooms.", "data_table": "{\n  \"rooms\": [\n    {\n      \"roomid\": \"r001\",\n      \"roomname\": \"deluxe suite\",\n      \"baseprice\": \"200\"\n    },\n    {\n      \"roomid\": \"r002\",\n      \"roomname\": \"standard room\",\n      \"baseprice\": \"150\"\n    },\n    {\n      \"roomid\": \"r003\",\n      \"roomname\": \"executive suite\",\n      \"baseprice\": \"300\"\n    },\n    {\n      \"roomid\": \"r004\",\n      \"roomname\": \"penthouse\",\n      \"baseprice\": \"500\"\n    },\n    {\n      \"roomid\": \"r005\",\n      \"roomname\": \"ocean view suite\",\n      \"baseprice\": \"400\"\n    },\n    {\n      \"roomid\": \"r006\",\n      \"roomname\": \"family room\",\n      \"baseprice\": \"250\"\n    },\n    {\n      \"roomid\": \"r007\",\n      \"roomname\": \"presidential suite\",\n      \"baseprice\": \"1000\"\n    },\n    {\n      \"roomid\": \"r008\",\n      \"roomname\": \"honeymoon suite\",\n      \"baseprice\": \"600\"\n    },\n    {\n      \"roomid\": \"r009\",\n      \"roomname\": \"garden view room\",\n      \"baseprice\": \"180\"\n    },\n    {\n      \"roomid\": \"r010\",\n      \"roomname\": \"business suite\",\n      \"baseprice\": \"350\"\n    }\n  ]\n}", "idx": 31384}
{"context": "CREATE TABLE table_11934032_1 (type VARCHAR, station_number VARCHAR)", "sql_query": "select type from table_11934032_1 where station_number = 'c08'", "question": "what are all the\u00a0type\u00a0where\u00a0station number\u00a0is c08", "data_table": "{\n  \"table_11934032_1\": [\n    {\n      \"type\": \"a\",\n      \"station_number\": \"c01\"\n    },\n    {\n      \"type\": \"b\",\n      \"station_number\": \"c02\"\n    },\n    {\n      \"type\": \"c\",\n      \"station_number\": \"c03\"\n    },\n    {\n      \"type\": \"d\",\n      \"station_number\": \"c04\"\n    },\n    {\n      \"type\": \"e\",\n      \"station_number\": \"c05\"\n    },\n    {\n      \"type\": \"f\",\n      \"station_number\": \"c06\"\n    },\n    {\n      \"type\": \"g\",\n      \"station_number\": \"c07\"\n    },\n    {\n      \"type\": \"h\",\n      \"station_number\": \"c08\"\n    },\n    {\n      \"type\": \"i\",\n      \"station_number\": \"c09\"\n    },\n    {\n      \"type\": \"j\",\n      \"station_number\": \"c10\"\n    }\n  ]\n}", "idx": 31385}
{"context": "CREATE TABLE table_11839306_2 (japanese_title VARCHAR, english_title VARCHAR)", "sql_query": "select japanese_title from table_11839306_2 where english_title = 'fantasy'", "question": "What is the Japanese title for Fantasy?", "data_table": "{\n  \"table_11839306_2\": [\n    {\n      \"japanese_title\": \"\u5922\u5e7b\",\n      \"english_title\": \"fantasy\"\n    },\n    {\n      \"japanese_title\": \"\u5192\u967a\",\n      \"english_title\": \"adventure\"\n    },\n    {\n      \"japanese_title\": \"\u604b\u611b\",\n      \"english_title\": \"romance\"\n    },\n    {\n      \"japanese_title\": \"\u30df\u30b9\u30c6\u30ea\u30fc\",\n      \"english_title\": \"mystery\"\n    },\n    {\n      \"japanese_title\": \"\u30b5\u30b9\u30da\u30f3\u30b9\",\n      \"english_title\": \"suspense\"\n    },\n    {\n      \"japanese_title\": \"\u30b3\u30e1\u30c7\u30a3\",\n      \"english_title\": \"comedy\"\n    },\n    {\n      \"japanese_title\": \"\u30c9\u30e9\u30de\",\n      \"english_title\": \"drama\"\n    },\n    {\n      \"japanese_title\": \"\u30a2\u30af\u30b7\u30e7\u30f3\",\n      \"english_title\": \"action\"\n    },\n    {\n      \"japanese_title\": \"\u30b5\u30a4\u30a8\u30f3\u30b9\u30d5\u30a3\u30af\u30b7\u30e7\u30f3\",\n      \"english_title\": \"science fiction\"\n    },\n    {\n      \"japanese_title\": \"\u30db\u30e9\u30fc\",\n      \"english_title\": \"horror\"\n    }\n  ]\n}", "idx": 31386}
{"context": "CREATE TABLE table_name_68 (league VARCHAR, season VARCHAR)", "sql_query": "select league from table_name_68 where season = '2012\u201313'", "question": "Season of 2012\u201313 is what league?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"league\": \"premier league\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"la liga\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"bundesliga\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"serie a\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"ligue 1\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"eredivisie\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"primeira liga\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"super lig\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"russian premier league\",\n      \"season\": \"2012\u201313\"\n    },\n    {\n      \"league\": \"scottish premiership\",\n      \"season\": \"2012\u201313\"\n    }\n  ]\n}", "idx": 31387}
{"context": "CREATE TABLE table_name_9 (score VARCHAR, home VARCHAR, visitor VARCHAR)", "sql_query": "select score from table_name_9 where home = 'hornets' and visitor = 'clippers'", "question": "In the game where the Hornets were the home team and Clippers the visiting team, what is the score?", "data_table": "{\n  \"table_name_9\": [\n    {\n      \"score\": \"102-98\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"115-110\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"99-105\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"108-112\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"97-101\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"104-100\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"110-105\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"101-98\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"106-103\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    },\n    {\n      \"score\": \"113-109\",\n      \"home\": \"hornets\",\n      \"visitor\": \"clippers\"\n    }\n  ]\n}", "idx": 31388}
{"context": "CREATE TABLE table_11964154_11 (high_rebounds VARCHAR, score VARCHAR)", "sql_query": "select high_rebounds from table_11964154_11 where score = 'l 84\u2013102 (ot)'", "question": "Who had the high rebounds when the score was l 84\u2013102 (ot)?", "data_table": "{\n  \"table_11964154_11\": [\n    {\n      \"high_rebounds\": \"10\",\n      \"score\": \"l 84\u2013102 (ot)\"\n    },\n    {\n      \"high_rebounds\": \"8\",\n      \"score\": \"w 98\u201392\"\n    },\n    {\n      \"high_rebounds\": \"12\",\n      \"score\": \"l 79\u201385\"\n    },\n    {\n      \"high_rebounds\": \"6\",\n      \"score\": \"w 105\u201399\"\n    },\n    {\n      \"high_rebounds\": \"9\",\n      \"score\": \"l 88\u201392\"\n    },\n    {\n      \"high_rebounds\": \"7\",\n      \"score\": \"w 101\u201397\"\n    },\n    {\n      \"high_rebounds\": \"11\",\n      \"score\": \"l 82\u201389\"\n    },\n    {\n      \"high_rebounds\": \"5\",\n      \"score\": \"w 96\u201391\"\n    },\n    {\n      \"high_rebounds\": \"13\",\n      \"score\": \"l 77\u201383\"\n    },\n    {\n      \"high_rebounds\": \"4\",\n      \"score\": \"w 110\u2013105\"\n    }\n  ]\n}", "idx": 31389}
{"context": "CREATE TABLE table_24096813_15 (voltage VARCHAR, part_number_s_ VARCHAR)", "sql_query": "select voltage from table_24096813_15 where part_number_s_ = 'tt80503300'", "question": "What's  the voltage of the model with part number TT80503300?", "data_table": "{\n  \"table_24096813_15\": [\n    {\n      \"voltage\": \"120v\",\n      \"part_number_s_\": \"tt80503300\"\n    },\n    {\n      \"voltage\": \"240v\",\n      \"part_number_s_\": \"tt80503300\"\n    },\n    {\n      \"voltage\": \"480v\",\n      \"part_number_s_\": \"tt80503300\"\n    },\n    {\n      \"voltage\": \"120v\",\n      \"part_number_s_\": \"tt80503301\"\n    },\n    {\n      \"voltage\": \"240v\",\n      \"part_number_s_\": \"tt80503301\"\n    },\n    {\n      \"voltage\": \"480v\",\n      \"part_number_s_\": \"tt80503301\"\n    },\n    {\n      \"voltage\": \"120v\",\n      \"part_number_s_\": \"tt80503302\"\n    },\n    {\n      \"voltage\": \"240v\",\n      \"part_number_s_\": \"tt80503302\"\n    },\n    {\n      \"voltage\": \"480v\",\n      \"part_number_s_\": \"tt80503302\"\n    },\n    {\n      \"voltage\": \"120v\",\n      \"part_number_s_\": \"tt80503303\"\n    },\n    {\n      \"voltage\": \"240v\",\n      \"part_number_s_\": \"tt80503303\"\n    },\n    {\n      \"voltage\": \"480v\",\n      \"part_number_s_\": \"tt80503303\"\n    }\n  ]\n}", "idx": 31390}
{"context": "CREATE TABLE table_name_38 (date VARCHAR, set_3 VARCHAR, score VARCHAR, time VARCHAR)", "sql_query": "select date from table_name_38 where score = '2\u20133' and time = '20:30' and set_3 = '16\u201325'", "question": "Which Date has a Score of 2\u20133, a Time of 20:30, and a Set 3 of 16\u201325?", "data_table": "{\n  \"table_name_38\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"set_3\": \"16\u201325\",\n      \"score\": \"2\u20133\",\n      \"time\": \"20:30\"\n    }\n  ]\n}", "idx": 31391}
{"context": "CREATE TABLE table_27319183_7 (total_itv_viewers__millions_ VARCHAR, official_itv_rating__millions_ VARCHAR)", "sql_query": "select total_itv_viewers__millions_ from table_27319183_7 where official_itv_rating__millions_ = '10.24'", "question": "How many total itv viewers were there for the episode with official itv ratings of 10.24 million?", "data_table": "{\n  \"table_27319183_7\": [\n    {\n      \"total_itv_viewers__millions_\": \"8.75\",\n      \"official_itv_rating__millions_\": \"10.24\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"9.12\",\n      \"official_itv_rating__millions_\": \"9.86\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"7.98\",\n      \"official_itv_rating__millions_\": \"8.52\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"6.45\",\n      \"official_itv_rating__millions_\": \"7.21\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"5.32\",\n      \"official_itv_rating__millions_\": \"6.09\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"4.76\",\n      \"official_itv_rating__millions_\": \"5.45\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"3.98\",\n      \"official_itv_rating__millions_\": \"4.32\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"2.87\",\n      \"official_itv_rating__millions_\": \"3.21\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"1.54\",\n      \"official_itv_rating__millions_\": \"2.09\"\n    },\n    {\n      \"total_itv_viewers__millions_\": \"0.98\",\n      \"official_itv_rating__millions_\": \"1.45\"\n    }\n  ]\n}", "idx": 31393}
{"context": "CREATE TABLE table_name_35 (date VARCHAR, final_score VARCHAR)", "sql_query": "select date from table_name_35 where final_score = '17-34'", "question": "What date was the final Score of 17-34?", "data_table": "{\n  \"table_name_35\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"final_score\": \"17-34\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"final_score\": \"12-28\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"final_score\": \"17-34\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"final_score\": \"21-19\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"final_score\": \"17-34\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"final_score\": \"14-31\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"final_score\": \"17-34\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"final_score\": \"24-10\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"final_score\": \"17-34\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"final_score\": \"19-22\"\n    }\n  ]\n}", "idx": 31394}
{"context": "CREATE TABLE table_name_20 (name VARCHAR, circuit VARCHAR)", "sql_query": "select name from table_name_20 where circuit = 'lille'", "question": "Which Grand Prix has the Circuit of Lille?", "data_table": "{\n  \"table_name_20\": [\n    {\n      \"name\": \"john\",\n      \"circuit\": \"lille\"\n    },\n    {\n      \"name\": \"emma\",\n      \"circuit\": \"paris\"\n    },\n    {\n      \"name\": \"michael\",\n      \"circuit\": \"lille\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"circuit\": \"paris\"\n    },\n    {\n      \"name\": \"william\",\n      \"circuit\": \"lille\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"circuit\": \"paris\"\n    },\n    {\n      \"name\": \"james\",\n      \"circuit\": \"lille\"\n    },\n    {\n      \"name\": \"ava\",\n      \"circuit\": \"paris\"\n    },\n    {\n      \"name\": \"benjamin\",\n      \"circuit\": \"lille\"\n    },\n    {\n      \"name\": \"isabella\",\n      \"circuit\": \"paris\"\n    }\n  ]\n}", "idx": 31395}
{"context": "CREATE TABLE table_name_71 (tonnage INTEGER, nationality VARCHAR)", "sql_query": "select max(tonnage) from table_name_71 where nationality = 'norway'", "question": "What is the highest tonnage of the ship from norway?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"tonnage\": 100,\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage\": 200,\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage\": 150,\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage\": 120,\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage\": 180,\n      \"nationality\": \"norway\"\n    },\n    {\n      \"tonnage\": 90,\n      \"nationality\": \"germany\"\n    },\n    {\n      \"tonnage\": 110,\n      \"nationality\": \"germany\"\n    },\n    {\n      \"tonnage\": 80,\n      \"nationality\": \"germany\"\n    },\n    {\n      \"tonnage\": 70,\n      \"nationality\": \"germany\"\n    },\n    {\n      \"tonnage\": 130,\n      \"nationality\": \"germany\"\n    }\n  ]\n}", "idx": 31396}
{"context": "CREATE TABLE table_name_24 (max__number_of_players VARCHAR, developer VARCHAR, main_title___alternate_title_s_ VARCHAR)", "sql_query": "select count(max__number_of_players) from table_name_24 where developer = 'sega' and main_title___alternate_title_s_ = 'hang-on (cartridge version)'", "question": "What is the maximum number of players for the sega game, hang-on (cartridge version)?", "data_table": "{\n  \"table_name_24\": [\n    {\n      \"max__number_of_players\": \"1\",\n      \"developer\": \"sega\",\n      \"main_title___alternate_title_s_\": \"hang-on (cartridge version)\"\n    },\n    {\n      \"max__number_of_players\": \"2\",\n      \"developer\": \"nintendo\",\n      \"main_title___alternate_title_s_\": \"super mario bros.\"\n    },\n    {\n      \"max__number_of_players\": \"4\",\n      \"developer\": \"sony\",\n      \"main_title___alternate_title_s_\": \"gran turismo\"\n    },\n    {\n      \"max__number_of_players\": \"2\",\n      \"developer\": \"sega\",\n      \"main_title___alternate_title_s_\": \"sonic the hedgehog\"\n    },\n    {\n      \"max__number_of_players\": \"1\",\n      \"developer\": \"nintendo\",\n      \"main_title___alternate_title_s_\": \"the legend of zelda\"\n    },\n    {\n      \"max__number_of_players\": \"4\",\n      \"developer\": \"sony\",\n      \"main_title___alternate_title_s_\": \"god of war\"\n    },\n    {\n      \"max__number_of_players\": \"2\",\n      \"developer\": \"sega\",\n      \"main_title___alternate_title_s_\": \"street fighter ii\"\n    },\n    {\n      \"max__number_of_players\": \"1\",\n      \"developer\": \"nintendo\",\n      \"main_title___alternate_title_s_\": \"pokemon red\"\n    },\n    {\n      \"max__number_of_players\": \"4\",\n      \"developer\": \"sony\",\n      \"main_title___alternate_title_s_\": \"final fantasy vii\"\n    },\n    {\n      \"max__number_of_players\": \"2\",\n      \"developer\": \"sega\",\n      \"main_title___alternate_title_s_\": \"mortal kombat\"\n    }\n  ]\n}", "idx": 31397}
{"context": "CREATE TABLE table_name_11 (method VARCHAR, opponent VARCHAR)", "sql_query": "select method from table_name_11 where opponent = 'chris clark'", "question": "Which method's opponent was chris clark?", "data_table": "{\n  \"table_name_11\": [\n    {\n      \"method\": \"get\",\n      \"opponent\": \"chris clark\"\n    },\n    {\n      \"method\": \"post\",\n      \"opponent\": \"john doe\"\n    },\n    {\n      \"method\": \"put\",\n      \"opponent\": \"jane smith\"\n    },\n    {\n      \"method\": \"delete\",\n      \"opponent\": \"mike johnson\"\n    },\n    {\n      \"method\": \"get\",\n      \"opponent\": \"chris clark\"\n    },\n    {\n      \"method\": \"post\",\n      \"opponent\": \"jane smith\"\n    },\n    {\n      \"method\": \"put\",\n      \"opponent\": \"john doe\"\n    },\n    {\n      \"method\": \"delete\",\n      \"opponent\": \"mike johnson\"\n    },\n    {\n      \"method\": \"get\",\n      \"opponent\": \"john doe\"\n    },\n    {\n      \"method\": \"post\",\n      \"opponent\": \"chris clark\"\n    }\n  ]\n}", "idx": 31398}
{"context": "CREATE TABLE table_2941963_1 (country VARCHAR, remittances_2009 VARCHAR)", "sql_query": "select count(country) from table_2941963_1 where remittances_2009 = '6.02'", "question": "how many countiers had 2009 remittances of 6.02?", "data_table": "{\n  \"table_2941963_1\": [\n    {\n      \"country\": \"usa\",\n      \"remittances_2009\": \"6.02\"\n    },\n    {\n      \"country\": \"canada\",\n      \"remittances_2009\": \"3.14\"\n    },\n    {\n      \"country\": \"mexico\",\n      \"remittances_2009\": \"6.02\"\n    },\n    {\n      \"country\": \"germany\",\n      \"remittances_2009\": \"2.71\"\n    },\n    {\n      \"country\": \"france\",\n      \"remittances_2009\": \"1.68\"\n    },\n    {\n      \"country\": \"australia\",\n      \"remittances_2009\": \"4.59\"\n    },\n    {\n      \"country\": \"brazil\",\n      \"remittances_2009\": \"6.02\"\n    },\n    {\n      \"country\": \"china\",\n      \"remittances_2009\": \"5.32\"\n    },\n    {\n      \"country\": \"india\",\n      \"remittances_2009\": \"6.02\"\n    },\n    {\n      \"country\": \"japan\",\n      \"remittances_2009\": \"0.99\"\n    }\n  ]\n}", "idx": 31399}
{"context": "CREATE TABLE table_23916539_3 (record VARCHAR, opponent VARCHAR)", "sql_query": "select record from table_23916539_3 where opponent = 'stampeders'", "question": "If the opponent is the Stampeders, what is the record?", "data_table": "{\n  \"table_23916539_3\": [\n    {\n      \"record\": \"win\",\n      \"opponent\": \"stampeders\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"argonauts\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"roughriders\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"lions\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"tiger-cats\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"redblacks\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"alouettes\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"blue-bombers\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"eskimos\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"argonauts\"\n    }\n  ]\n}", "idx": 31400}
{"context": "CREATE TABLE orders (order_id VARCHAR); CREATE TABLE order_items (order_id VARCHAR, product_id VARCHAR); CREATE TABLE products (product_id VARCHAR)", "sql_query": "select count(*), t3.product_id from orders as t1 join order_items as t2 join products as t3 on t1.order_id = t2.order_id and t2.product_id = t3.product_id group by t3.product_id", "question": "List the count and id of each product in all the orders.", "data_table": "{\n  \"orders\": [\n    {\n      \"order_id\": \"12345\"\n    },\n    {\n      \"order_id\": \"67890\"\n    },\n    {\n      \"order_id\": \"54321\"\n    },\n    {\n      \"order_id\": \"09876\"\n    },\n    {\n      \"order_id\": \"13579\"\n    }\n  ],\n  \"order_items\": [\n    {\n      \"order_id\": \"12345\",\n      \"product_id\": \"a001\"\n    },\n    {\n      \"order_id\": \"12345\",\n      \"product_id\": \"b002\"\n    },\n    {\n      \"order_id\": \"67890\",\n      \"product_id\": \"c003\"\n    },\n    {\n      \"order_id\": \"67890\",\n      \"product_id\": \"d004\"\n    },\n    {\n      \"order_id\": \"54321\",\n      \"product_id\": \"e005\"\n    },\n    {\n      \"order_id\": \"54321\",\n      \"product_id\": \"f006\"\n    },\n    {\n      \"order_id\": \"09876\",\n      \"product_id\": \"g007\"\n    },\n    {\n      \"order_id\": \"09876\",\n      \"product_id\": \"h008\"\n    },\n    {\n      \"order_id\": \"13579\",\n      \"product_id\": \"i009\"\n    },\n    {\n      \"order_id\": \"13579\",\n      \"product_id\": \"j010\"\n    }\n  ],\n  \"products\": [\n    {\n      \"product_id\": \"a001\"\n    },\n    {\n      \"product_id\": \"b002\"\n    },\n    {\n      \"product_id\": \"c003\"\n    },\n    {\n      \"product_id\": \"d004\"\n    },\n    {\n      \"product_id\": \"e005\"\n    },\n    {\n      \"product_id\": \"f006\"\n    },\n    {\n      \"product_id\": \"g007\"\n    },\n    {\n      \"product_id\": \"h008\"\n    },\n    {\n      \"product_id\": \"i009\"\n    },\n    {\n      \"product_id\": \"j010\"\n    }\n  ]\n}", "idx": 31401}
{"context": "CREATE TABLE table_25692955_1 (route_number VARCHAR, north_east_terminal VARCHAR)", "sql_query": "select route_number from table_25692955_1 where north_east_terminal = 'santa rosa avenue'", "question": "Name the route number for santa rosa avenue", "data_table": "{\n  \"table_25692955_1\": [\n    {\n      \"route_number\": \"a1\",\n      \"north_east_terminal\": \"santa rosa avenue\"\n    },\n    {\n      \"route_number\": \"b2\",\n      \"north_east_terminal\": \"main street\"\n    },\n    {\n      \"route_number\": \"c3\",\n      \"north_east_terminal\": \"oak avenue\"\n    },\n    {\n      \"route_number\": \"d4\",\n      \"north_east_terminal\": \"elm street\"\n    },\n    {\n      \"route_number\": \"e5\",\n      \"north_east_terminal\": \"pine road\"\n    },\n    {\n      \"route_number\": \"f6\",\n      \"north_east_terminal\": \"cedar lane\"\n    },\n    {\n      \"route_number\": \"g7\",\n      \"north_east_terminal\": \"maple avenue\"\n    },\n    {\n      \"route_number\": \"h8\",\n      \"north_east_terminal\": \"walnut street\"\n    },\n    {\n      \"route_number\": \"i9\",\n      \"north_east_terminal\": \"cherry road\"\n    },\n    {\n      \"route_number\": \"j10\",\n      \"north_east_terminal\": \"birch lane\"\n    }\n  ]\n}", "idx": 31403}
{"context": "CREATE TABLE table_name_97 (podiums VARCHAR, races_\u2020 VARCHAR)", "sql_query": "select podiums from table_name_97 where races_\u2020 = '13/15'", "question": "What is the number of podiums for the races of 13/15?", "data_table": "{\n  \"table_name_97\": [\n    {\n      \"podiums\": \"1st\",\n      \"races_\u2020\": \"13/15\"\n    },\n    {\n      \"podiums\": \"2nd\",\n      \"races_\u2020\": \"13/15\"\n    },\n    {\n      \"podiums\": \"3rd\",\n      \"races_\u2020\": \"13/15\"\n    },\n    {\n      \"podiums\": \"1st\",\n      \"races_\u2020\": \"10/15\"\n    },\n    {\n      \"podiums\": \"2nd\",\n      \"races_\u2020\": \"10/15\"\n    },\n    {\n      \"podiums\": \"3rd\",\n      \"races_\u2020\": \"10/15\"\n    },\n    {\n      \"podiums\": \"1st\",\n      \"races_\u2020\": \"8/15\"\n    },\n    {\n      \"podiums\": \"2nd\",\n      \"races_\u2020\": \"8/15\"\n    },\n    {\n      \"podiums\": \"3rd\",\n      \"races_\u2020\": \"8/15\"\n    },\n    {\n      \"podiums\": \"1st\",\n      \"races_\u2020\": \"5/15\"\n    },\n    {\n      \"podiums\": \"2nd\",\n      \"races_\u2020\": \"5/15\"\n    },\n    {\n      \"podiums\": \"3rd\",\n      \"races_\u2020\": \"5/15\"\n    }\n  ]\n}", "idx": 31404}
{"context": "CREATE TABLE table_name_87 (date VARCHAR, opponents VARCHAR)", "sql_query": "select date from table_name_87 where opponents = 'royal antwerp'", "question": "What date was the game against Royal Antwerp?", "data_table": "{\n  \"table_name_87\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"opponents\": \"royal antwerp\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"opponents\": \"manchester united\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"opponents\": \"liverpool\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"opponents\": \"chelsea\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"opponents\": \"arsenal\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"opponents\": \"tottenham hotspur\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"opponents\": \"barcelona\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"opponents\": \"real madrid\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"opponents\": \"bayern munich\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"opponents\": \"juventus\"\n    }\n  ]\n}", "idx": 31405}
{"context": "CREATE TABLE table_name_35 (pick INTEGER, position VARCHAR, team VARCHAR)", "sql_query": "select min(pick) from table_name_35 where position = 'of' and team = 'chicago white sox'", "question": "What was the lowest pick when the position was OF with the Chicago White Sox?", "data_table": "{\n  \"table_name_35\": [\n    {\n      \"pick\": 1,\n      \"position\": \"of\",\n      \"team\": \"chicago white sox\"\n    },\n    {\n      \"pick\": 2,\n      \"position\": \"ss\",\n      \"team\": \"new york yankees\"\n    },\n    {\n      \"pick\": 3,\n      \"position\": \"1b\",\n      \"team\": \"boston red sox\"\n    },\n    {\n      \"pick\": 4,\n      \"position\": \"3b\",\n      \"team\": \"los angeles dodgers\"\n    },\n    {\n      \"pick\": 5,\n      \"position\": \"2b\",\n      \"team\": \"houston astros\"\n    },\n    {\n      \"pick\": 6,\n      \"position\": \"c\",\n      \"team\": \"san francisco giants\"\n    },\n    {\n      \"pick\": 7,\n      \"position\": \"of\",\n      \"team\": \"atlanta braves\"\n    },\n    {\n      \"pick\": 8,\n      \"position\": \"ss\",\n      \"team\": \"chicago cubs\"\n    },\n    {\n      \"pick\": 9,\n      \"position\": \"1b\",\n      \"team\": \"st. louis cardinals\"\n    },\n    {\n      \"pick\": 10,\n      \"position\": \"3b\",\n      \"team\": \"seattle mariners\"\n    }\n  ]\n}", "idx": 31406}
{"context": "CREATE TABLE table_name_19 (yard_name VARCHAR, ship_types_delivered VARCHAR, total_vessels_built_for_usmc VARCHAR)", "sql_query": "select yard_name from table_name_19 where ship_types_delivered = 'n3 type, v4 type' and total_vessels_built_for_usmc = '13 ships for usmc'", "question": "what is the yard name when the ship types delivered is n3 type, v4 type and the total vessels built for usmc is 13 ships for usmc?", "data_table": "{\n  \"table_name_19\": [\n    {\n      \"yard_name\": \"yard a\",\n      \"ship_types_delivered\": \"n3 type, v4 type\",\n      \"total_vessels_built_for_usmc\": \"13 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard b\",\n      \"ship_types_delivered\": \"n1 type, v2 type\",\n      \"total_vessels_built_for_usmc\": \"5 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard c\",\n      \"ship_types_delivered\": \"n3 type, v4 type\",\n      \"total_vessels_built_for_usmc\": \"13 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard d\",\n      \"ship_types_delivered\": \"n2 type, v3 type\",\n      \"total_vessels_built_for_usmc\": \"8 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard e\",\n      \"ship_types_delivered\": \"n1 type, v2 type\",\n      \"total_vessels_built_for_usmc\": \"5 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard f\",\n      \"ship_types_delivered\": \"n2 type, v3 type\",\n      \"total_vessels_built_for_usmc\": \"8 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard g\",\n      \"ship_types_delivered\": \"n3 type, v4 type\",\n      \"total_vessels_built_for_usmc\": \"13 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard h\",\n      \"ship_types_delivered\": \"n1 type, v2 type\",\n      \"total_vessels_built_for_usmc\": \"5 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard i\",\n      \"ship_types_delivered\": \"n2 type, v3 type\",\n      \"total_vessels_built_for_usmc\": \"8 ships for usmc\"\n    },\n    {\n      \"yard_name\": \"yard j\",\n      \"ship_types_delivered\": \"n3 type, v4 type\",\n      \"total_vessels_built_for_usmc\": \"13 ships for usmc\"\n    }\n  ]\n}", "idx": 31407}
{"context": "CREATE TABLE table_1706942_1 (q1_order INTEGER, driver VARCHAR)", "sql_query": "select max(q1_order) from table_1706942_1 where driver = 'felipe massa'", "question": "What is the Q1 order for Felipe Massa?", "data_table": "{\n  \"table_1706942_1\": [\n    {\n      \"q1_order\": 1,\n      \"driver\": \"felipe massa\"\n    },\n    {\n      \"q1_order\": 2,\n      \"driver\": \"lewis hamilton\"\n    },\n    {\n      \"q1_order\": 3,\n      \"driver\": \"sebastian vettel\"\n    },\n    {\n      \"q1_order\": 4,\n      \"driver\": \"kimi raikkonen\"\n    },\n    {\n      \"q1_order\": 5,\n      \"driver\": \"max verstappen\"\n    },\n    {\n      \"q1_order\": 6,\n      \"driver\": \"valtteri bottas\"\n    },\n    {\n      \"q1_order\": 7,\n      \"driver\": \"daniel ricciardo\"\n    },\n    {\n      \"q1_order\": 8,\n      \"driver\": \"sergio perez\"\n    },\n    {\n      \"q1_order\": 9,\n      \"driver\": \"charles leclerc\"\n    },\n    {\n      \"q1_order\": 10,\n      \"driver\": \"landon norris\"\n    }\n  ]\n}", "idx": 31408}
{"context": "CREATE TABLE table_name_54 (viewership__millions_ INTEGER, broadcast_date VARCHAR)", "sql_query": "select min(viewership__millions_) from table_name_54 where broadcast_date = '7 september 2001'", "question": "What is the lowest viewership in millions of the episode broadcast on 7 September 2001?", "data_table": "{\n  \"table_name_54\": [\n    {\n      \"viewership__millions_\": 5,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 8,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 3,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 6,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 4,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 7,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 2,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 9,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 1,\n      \"broadcast_date\": \"7 september 2001\"\n    },\n    {\n      \"viewership__millions_\": 10,\n      \"broadcast_date\": \"7 september 2001\"\n    }\n  ]\n}", "idx": 31409}
{"context": "CREATE TABLE table_name_3 (crowd VARCHAR, home_team VARCHAR)", "sql_query": "select crowd from table_name_3 where home_team = 'north melbourne'", "question": "How many people were in the crowd when North Melbourne was the home team?", "data_table": "{\n  \"table_name_3\": [\n    {\n      \"crowd\": \"5000\",\n      \"home_team\": \"north melbourne\"\n    },\n    {\n      \"crowd\": \"10000\",\n      \"home_team\": \"north melbourne\"\n    },\n    {\n      \"crowd\": \"8000\",\n      \"home_team\": \"collingwood\"\n    },\n    {\n      \"crowd\": \"6000\",\n      \"home_team\": \"collingwood\"\n    },\n    {\n      \"crowd\": \"12000\",\n      \"home_team\": \"essendon\"\n    },\n    {\n      \"crowd\": \"9000\",\n      \"home_team\": \"essendon\"\n    },\n    {\n      \"crowd\": \"7000\",\n      \"home_team\": \"geelong\"\n    },\n    {\n      \"crowd\": \"15000\",\n      \"home_team\": \"geelong\"\n    },\n    {\n      \"crowd\": \"11000\",\n      \"home_team\": \"hawthorn\"\n    },\n    {\n      \"crowd\": \"3000\",\n      \"home_team\": \"hawthorn\"\n    }\n  ]\n}", "idx": 31410}
{"context": "CREATE TABLE table_name_47 (venue VARCHAR, date VARCHAR)", "sql_query": "select venue from table_name_47 where date = '11 october 2008'", "question": "In which venue did the competition on 11 October 2008 take place?", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"venue\": \"stadium a\",\n      \"date\": \"11 october 2008\"\n    },\n    {\n      \"venue\": \"arena b\",\n      \"date\": \"11 october 2008\"\n    },\n    {\n      \"venue\": \"hall c\",\n      \"date\": \"12 october 2008\"\n    },\n    {\n      \"venue\": \"gymnasium d\",\n      \"date\": \"12 october 2008\"\n    },\n    {\n      \"venue\": \"stadium a\",\n      \"date\": \"13 october 2008\"\n    },\n    {\n      \"venue\": \"arena b\",\n      \"date\": \"13 october 2008\"\n    },\n    {\n      \"venue\": \"hall c\",\n      \"date\": \"14 october 2008\"\n    },\n    {\n      \"venue\": \"gymnasium d\",\n      \"date\": \"14 october 2008\"\n    },\n    {\n      \"venue\": \"stadium a\",\n      \"date\": \"15 october 2008\"\n    },\n    {\n      \"venue\": \"arena b\",\n      \"date\": \"15 october 2008\"\n    }\n  ]\n}", "idx": 31411}
{"context": "CREATE TABLE table_1939235_1 (division INTEGER, regular_season VARCHAR)", "sql_query": "select max(division) from table_1939235_1 where regular_season = '5th'", "question": "When 5th is the regular season what is the highest season?", "data_table": "{\n  \"table_1939235_1\": [\n    {\n      \"division\": 1,\n      \"regular_season\": \"2nd\"\n    },\n    {\n      \"division\": 2,\n      \"regular_season\": \"5th\"\n    },\n    {\n      \"division\": 3,\n      \"regular_season\": \"1st\"\n    },\n    {\n      \"division\": 4,\n      \"regular_season\": \"3rd\"\n    },\n    {\n      \"division\": 5,\n      \"regular_season\": \"4th\"\n    },\n    {\n      \"division\": 6,\n      \"regular_season\": \"2nd\"\n    },\n    {\n      \"division\": 7,\n      \"regular_season\": \"5th\"\n    },\n    {\n      \"division\": 8,\n      \"regular_season\": \"1st\"\n    },\n    {\n      \"division\": 9,\n      \"regular_season\": \"3rd\"\n    },\n    {\n      \"division\": 10,\n      \"regular_season\": \"4th\"\n    }\n  ]\n}", "idx": 31413}
{"context": "CREATE TABLE table_19017269_5 (europe VARCHAR, northern_america VARCHAR)", "sql_query": "select europe from table_19017269_5 where northern_america = '482 (4.7%)'", "question": "what will be the population of Europe when  Northern America is 482 (4.7%)?", "data_table": "{\n  \"table_19017269_5\": [\n    {\n      \"europe\": \"germany\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"france\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"italy\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"spain\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"united kingdom\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"sweden\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"norway\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"denmark\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"netherlands\",\n      \"northern_america\": \"482 (4.7%)\"\n    },\n    {\n      \"europe\": \"belgium\",\n      \"northern_america\": \"482 (4.7%)\"\n    }\n  ]\n}", "idx": 31414}
{"context": "CREATE TABLE table_name_94 (democratic_seat_plurality VARCHAR, percentage_democrats VARCHAR)", "sql_query": "select democratic_seat_plurality from table_name_94 where percentage_democrats = '29%'", "question": "What is the democratic seat plurality with 29% democrat?", "data_table": "{\n  \"table_name_94\": [\n    {\n      \"democratic_seat_plurality\": \"yes\",\n      \"percentage_democrats\": \"29%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"no\",\n      \"percentage_democrats\": \"29%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"yes\",\n      \"percentage_democrats\": \"45%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"no\",\n      \"percentage_democrats\": \"45%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"yes\",\n      \"percentage_democrats\": \"62%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"no\",\n      \"percentage_democrats\": \"62%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"yes\",\n      \"percentage_democrats\": \"78%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"no\",\n      \"percentage_democrats\": \"78%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"yes\",\n      \"percentage_democrats\": \"92%\"\n    },\n    {\n      \"democratic_seat_plurality\": \"no\",\n      \"percentage_democrats\": \"92%\"\n    }\n  ]\n}", "idx": 31415}
{"context": "CREATE TABLE member (Membership_card VARCHAR)", "sql_query": "select count(*) from member where membership_card = 'black'", "question": "How many members have the black membership card?", "data_table": "{\n  \"member\": [\n    {\n      \"membership_card\": \"black\"\n    },\n    {\n      \"membership_card\": \"silver\"\n    },\n    {\n      \"membership_card\": \"gold\"\n    },\n    {\n      \"membership_card\": \"platinum\"\n    },\n    {\n      \"membership_card\": \"bronze\"\n    },\n    {\n      \"membership_card\": \"red\"\n    },\n    {\n      \"membership_card\": \"blue\"\n    },\n    {\n      \"membership_card\": \"green\"\n    },\n    {\n      \"membership_card\": \"yellow\"\n    },\n    {\n      \"membership_card\": \"white\"\n    }\n  ]\n}", "idx": 31417}
{"context": "CREATE TABLE table_25675509_1 (date__yyyy_mm_dd_ VARCHAR, latitude VARCHAR)", "sql_query": "select date__yyyy_mm_dd_ from table_25675509_1 where latitude = '08.909\u00b0 s'", "question": "On which date did the shock at latitude 08.909\u00b0 s occur?", "data_table": "{\n  \"table_25675509_1\": [\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-01\",\n      \"latitude\": \"08.909\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-02\",\n      \"latitude\": \"12.345\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-03\",\n      \"latitude\": \"16.789\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-04\",\n      \"latitude\": \"20.123\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-05\",\n      \"latitude\": \"24.567\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-06\",\n      \"latitude\": \"28.901\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-07\",\n      \"latitude\": \"33.345\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-08\",\n      \"latitude\": \"37.789\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-09\",\n      \"latitude\": \"42.123\u00b0 s\"\n    },\n    {\n      \"date__yyyy_mm_dd_\": \"2022-01-10\",\n      \"latitude\": \"46.567\u00b0 s\"\n    }\n  ]\n}", "idx": 31418}
{"context": "CREATE TABLE table_17918238_1 (length VARCHAR, maximum_diameter VARCHAR)", "sql_query": "select length from table_17918238_1 where maximum_diameter = '450 mm'", "question": "What is the length for a diameter totaling 450 mm?", "data_table": "{\n  \"table_17918238_1\": [\n    {\n      \"length\": \"100 mm\",\n      \"maximum_diameter\": \"450 mm\"\n    },\n    {\n      \"length\": \"200 mm\",\n      \"maximum_diameter\": \"500 mm\"\n    },\n    {\n      \"length\": \"150 mm\",\n      \"maximum_diameter\": \"400 mm\"\n    },\n    {\n      \"length\": \"250 mm\",\n      \"maximum_diameter\": \"550 mm\"\n    },\n    {\n      \"length\": \"300 mm\",\n      \"maximum_diameter\": \"600 mm\"\n    },\n    {\n      \"length\": \"350 mm\",\n      \"maximum_diameter\": \"450 mm\"\n    },\n    {\n      \"length\": \"400 mm\",\n      \"maximum_diameter\": \"500 mm\"\n    },\n    {\n      \"length\": \"450 mm\",\n      \"maximum_diameter\": \"550 mm\"\n    },\n    {\n      \"length\": \"500 mm\",\n      \"maximum_diameter\": \"600 mm\"\n    },\n    {\n      \"length\": \"550 mm\",\n      \"maximum_diameter\": \"450 mm\"\n    }\n  ]\n}", "idx": 31419}
{"context": "CREATE TABLE table_17416221_1 (largest_city VARCHAR, province VARCHAR)", "sql_query": "select largest_city from table_17416221_1 where province = 'eastern cape'", "question": "what is the largest city where the province is eastern cape?", "data_table": "{\n  \"table_17416221_1\": [\n    {\n      \"largest_city\": \"johannesburg\",\n      \"province\": \"gauteng\"\n    },\n    {\n      \"largest_city\": \"cape town\",\n      \"province\": \"western cape\"\n    },\n    {\n      \"largest_city\": \"durban\",\n      \"province\": \"kwazulu-natal\"\n    },\n    {\n      \"largest_city\": \"port elizabeth\",\n      \"province\": \"eastern cape\"\n    },\n    {\n      \"largest_city\": \"pretoria\",\n      \"province\": \"gauteng\"\n    },\n    {\n      \"largest_city\": \"bloemfontein\",\n      \"province\": \"free state\"\n    },\n    {\n      \"largest_city\": \"nelspruit\",\n      \"province\": \"mpumalanga\"\n    },\n    {\n      \"largest_city\": \"kimberley\",\n      \"province\": \"northern cape\"\n    },\n    {\n      \"largest_city\": \"pietermaritzburg\",\n      \"province\": \"kwazulu-natal\"\n    },\n    {\n      \"largest_city\": \"polokwane\",\n      \"province\": \"limpopo\"\n    }\n  ]\n}", "idx": 31420}
{"context": "CREATE TABLE table_name_9 (record VARCHAR, opponent VARCHAR, date VARCHAR)", "sql_query": "select record from table_name_9 where opponent = 'orioles' and date = 'april 14'", "question": "Which record has an Opponent of orioles and a Date of april 14?", "data_table": "{\n  \"table_name_9\": [\n    {\n      \"record\": \"win\",\n      \"opponent\": \"orioles\",\n      \"date\": \"april 14\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"yankees\",\n      \"date\": \"april 14\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"red sox\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"orioles\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"yankees\",\n      \"date\": \"april 16\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"red sox\",\n      \"date\": \"april 16\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"orioles\",\n      \"date\": \"april 17\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"yankees\",\n      \"date\": \"april 17\"\n    },\n    {\n      \"record\": \"win\",\n      \"opponent\": \"red sox\",\n      \"date\": \"april 18\"\n    },\n    {\n      \"record\": \"loss\",\n      \"opponent\": \"orioles\",\n      \"date\": \"april 18\"\n    }\n  ]\n}", "idx": 31421}
{"context": "CREATE TABLE table_name_57 (caps INTEGER, date_of_birth__age_ VARCHAR)", "sql_query": "select sum(caps) from table_name_57 where date_of_birth__age_ = '13 december 1977'", "question": "What is the total of Caps when player born 13 December 1977?", "data_table": "{\n  \"table_name_57\": [\n    {\n      \"caps\": 10,\n      \"date_of_birth__age_\": \"13 december 1977\"\n    },\n    {\n      \"caps\": 5,\n      \"date_of_birth__age_\": \"25 january 1985\"\n    },\n    {\n      \"caps\": 8,\n      \"date_of_birth__age_\": \"7 november 1992\"\n    },\n    {\n      \"caps\": 3,\n      \"date_of_birth__age_\": \"19 april 1980\"\n    },\n    {\n      \"caps\": 6,\n      \"date_of_birth__age_\": \"2 march 1998\"\n    },\n    {\n      \"caps\": 12,\n      \"date_of_birth__age_\": \"10 september 1987\"\n    },\n    {\n      \"caps\": 7,\n      \"date_of_birth__age_\": \"14 may 1995\"\n    },\n    {\n      \"caps\": 4,\n      \"date_of_birth__age_\": \"28 july 1983\"\n    },\n    {\n      \"caps\": 9,\n      \"date_of_birth__age_\": \"6 august 1990\"\n    },\n    {\n      \"caps\": 2,\n      \"date_of_birth__age_\": \"22 february 1979\"\n    }\n  ]\n}", "idx": 31424}
{"context": "CREATE TABLE table_11950720_4 (bowling_style VARCHAR, player VARCHAR)", "sql_query": "select bowling_style from table_11950720_4 where player = 'chris harris'", "question": "What is the bowling style of chris harris?", "data_table": "{\n  \"table_11950720_4\": [\n    {\n      \"bowling_style\": \"fast\",\n      \"player\": \"chris harris\"\n    },\n    {\n      \"bowling_style\": \"spin\",\n      \"player\": \"john smith\"\n    },\n    {\n      \"bowling_style\": \"medium\",\n      \"player\": \"david johnson\"\n    },\n    {\n      \"bowling_style\": \"fast\",\n      \"player\": \"michael brown\"\n    },\n    {\n      \"bowling_style\": \"spin\",\n      \"player\": \"robert davis\"\n    },\n    {\n      \"bowling_style\": \"medium\",\n      \"player\": \"daniel wilson\"\n    },\n    {\n      \"bowling_style\": \"fast\",\n      \"player\": \"matthew taylor\"\n    },\n    {\n      \"bowling_style\": \"spin\",\n      \"player\": \"andrew anderson\"\n    },\n    {\n      \"bowling_style\": \"medium\",\n      \"player\": \"christopher martinez\"\n    },\n    {\n      \"bowling_style\": \"fast\",\n      \"player\": \"ryan thompson\"\n    }\n  ]\n}", "idx": 31425}
{"context": "CREATE TABLE table_29141354_2 (andrew_and_georgies_guest VARCHAR, jamie_and_johns_guest VARCHAR)", "sql_query": "select andrew_and_georgies_guest from table_29141354_2 where jamie_and_johns_guest = 'joe calzaghe'", "question": "Who was Andrew and Georgies guest when Jamie and Johns guest was Joe Calzaghe?", "data_table": "{\n  \"table_29141354_2\": [\n    {\n      \"andrew_and_georgies_guest\": \"alice\",\n      \"jamie_and_johns_guest\": \"john\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"bob\",\n      \"jamie_and_johns_guest\": \"joe calzaghe\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"charlie\",\n      \"jamie_and_johns_guest\": \"mike\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"david\",\n      \"jamie_and_johns_guest\": \"joe calzaghe\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"eve\",\n      \"jamie_and_johns_guest\": \"john\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"frank\",\n      \"jamie_and_johns_guest\": \"mike\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"grace\",\n      \"jamie_and_johns_guest\": \"joe calzaghe\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"henry\",\n      \"jamie_and_johns_guest\": \"john\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"ivy\",\n      \"jamie_and_johns_guest\": \"mike\"\n    },\n    {\n      \"andrew_and_georgies_guest\": \"jack\",\n      \"jamie_and_johns_guest\": \"joe calzaghe\"\n    }\n  ]\n}", "idx": 31426}
{"context": "CREATE TABLE table_name_15 (erp_w INTEGER, call_sign VARCHAR)", "sql_query": "select avg(erp_w) from table_name_15 where call_sign = 'whre'", "question": "What is the average ERP W when the call sign is whre?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"erp_w\": 10,\n      \"call_sign\": \"abc\"\n    },\n    {\n      \"erp_w\": 20,\n      \"call_sign\": \"def\"\n    },\n    {\n      \"erp_w\": 15,\n      \"call_sign\": \"ghi\"\n    },\n    {\n      \"erp_w\": 25,\n      \"call_sign\": \"jkl\"\n    },\n    {\n      \"erp_w\": 30,\n      \"call_sign\": \"mno\"\n    },\n    {\n      \"erp_w\": 35,\n      \"call_sign\": \"pqr\"\n    },\n    {\n      \"erp_w\": 40,\n      \"call_sign\": \"stu\"\n    },\n    {\n      \"erp_w\": 45,\n      \"call_sign\": \"vwx\"\n    },\n    {\n      \"erp_w\": 50,\n      \"call_sign\": \"yz1\"\n    },\n    {\n      \"erp_w\": 55,\n      \"call_sign\": \"234\"\n    }\n  ]\n}", "idx": 31428}
{"context": "CREATE TABLE table_name_15 (lead VARCHAR, nation VARCHAR)", "sql_query": "select lead from table_name_15 where nation = 'switzerland'", "question": "Which Lead has a Nation of switzerland?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"lead\": \"john\",\n      \"nation\": \"usa\"\n    },\n    {\n      \"lead\": \"emma\",\n      \"nation\": \"canada\"\n    },\n    {\n      \"lead\": \"michael\",\n      \"nation\": \"australia\"\n    },\n    {\n      \"lead\": \"sophia\",\n      \"nation\": \"germany\"\n    },\n    {\n      \"lead\": \"william\",\n      \"nation\": \"france\"\n    },\n    {\n      \"lead\": \"olivia\",\n      \"nation\": \"italy\"\n    },\n    {\n      \"lead\": \"james\",\n      \"nation\": \"spain\"\n    },\n    {\n      \"lead\": \"ava\",\n      \"nation\": \"brazil\"\n    },\n    {\n      \"lead\": \"benjamin\",\n      \"nation\": \"china\"\n    },\n    {\n      \"lead\": \"isabella\",\n      \"nation\": \"switzerland\"\n    }\n  ]\n}", "idx": 31430}
{"context": "CREATE TABLE table_name_51 (league VARCHAR, playoffs VARCHAR)", "sql_query": "select league from table_name_51 where playoffs = 'national semi-finals'", "question": "Which league's playoffs was national semi-finals?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"league\": \"premier league\",\n      \"playoffs\": \"quarter-finals\"\n    },\n    {\n      \"league\": \"la liga\",\n      \"playoffs\": \"national semi-finals\"\n    },\n    {\n      \"league\": \"bundesliga\",\n      \"playoffs\": \"quarter-finals\"\n    },\n    {\n      \"league\": \"serie a\",\n      \"playoffs\": \"national semi-finals\"\n    },\n    {\n      \"league\": \"ligue 1\",\n      \"playoffs\": \"quarter-finals\"\n    },\n    {\n      \"league\": \"eredivisie\",\n      \"playoffs\": \"national semi-finals\"\n    },\n    {\n      \"league\": \"primeira liga\",\n      \"playoffs\": \"quarter-finals\"\n    },\n    {\n      \"league\": \"superliga\",\n      \"playoffs\": \"national semi-finals\"\n    },\n    {\n      \"league\": \"mls\",\n      \"playoffs\": \"quarter-finals\"\n    },\n    {\n      \"league\": \"j1 league\",\n      \"playoffs\": \"national semi-finals\"\n    }\n  ]\n}", "idx": 31431}
{"context": "CREATE TABLE table_name_67 (score VARCHAR, date VARCHAR, home_team VARCHAR)", "sql_query": "select score from table_name_67 where date = '23 january 1982' and home_team = 'gillingham'", "question": "What is the score of the game home team gillingham played on 23 january 1982?", "data_table": "{\n  \"table_name_67\": [\n    {\n      \"score\": \"3-1\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"gillingham\"\n    },\n    {\n      \"score\": \"2-0\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"manchester united\"\n    },\n    {\n      \"score\": \"1-1\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"liverpool\"\n    },\n    {\n      \"score\": \"0-2\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"arsenal\"\n    },\n    {\n      \"score\": \"4-3\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"chelsea\"\n    },\n    {\n      \"score\": \"2-1\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"tottenham hotspur\"\n    },\n    {\n      \"score\": \"1-0\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"everton\"\n    },\n    {\n      \"score\": \"0-0\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"leeds united\"\n    },\n    {\n      \"score\": \"2-2\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"newcastle united\"\n    },\n    {\n      \"score\": \"3-2\",\n      \"date\": \"23 january 1982\",\n      \"home_team\": \"west ham united\"\n    }\n  ]\n}", "idx": 31432}
{"context": "CREATE TABLE FACULTY (Lname VARCHAR, Building VARCHAR)", "sql_query": "select lname from faculty where building = 'barton' order by lname", "question": "Find the last names of faculties in building Barton in alphabetic order.", "data_table": "{\n  \"faculty\": [\n    {\n      \"lname\": \"smith\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"johnson\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"williams\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"brown\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"jones\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"miller\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"davis\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"garcia\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"wilson\",\n      \"building\": \"barton\"\n    },\n    {\n      \"lname\": \"anderson\",\n      \"building\": \"barton\"\n    }\n  ]\n}", "idx": 31433}
{"context": "CREATE TABLE table_26454128_4 (athlete VARCHAR, height VARCHAR, country VARCHAR)", "sql_query": "select athlete from table_26454128_4 where height = '1.87' and country = 'sweden'", "question": "Which athlete has a height of 1.87 and is from Sweden?", "data_table": "{\n  \"table_26454128_4\": [\n    {\n      \"athlete\": \"john doe\",\n      \"height\": \"1.87\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"athlete\": \"jane smith\",\n      \"height\": \"1.75\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"athlete\": \"michael johnson\",\n      \"height\": \"1.92\",\n      \"country\": \"usa\"\n    },\n    {\n      \"athlete\": \"maria garcia\",\n      \"height\": \"1.68\",\n      \"country\": \"spain\"\n    },\n    {\n      \"athlete\": \"david lee\",\n      \"height\": \"1.81\",\n      \"country\": \"usa\"\n    },\n    {\n      \"athlete\": \"emma m\u00fcller\",\n      \"height\": \"1.79\",\n      \"country\": \"germany\"\n    },\n    {\n      \"athlete\": \"alexandre dupont\",\n      \"height\": \"1.85\",\n      \"country\": \"france\"\n    },\n    {\n      \"athlete\": \"sara andersson\",\n      \"height\": \"1.70\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"athlete\": \"juan lopez\",\n      \"height\": \"1.76\",\n      \"country\": \"spain\"\n    },\n    {\n      \"athlete\": \"sophie martin\",\n      \"height\": \"1.63\",\n      \"country\": \"france\"\n    }\n  ]\n}", "idx": 31435}
{"context": "CREATE TABLE table_name_34 (march INTEGER, record VARCHAR)", "sql_query": "select max(march) from table_name_34 where record = '35\u201316\u20136\u20133'", "question": "What is the latest in March when the record of 35\u201316\u20136\u20133?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"march\": 35,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 20,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 10,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 15,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 25,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 30,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 5,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 40,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 18,\n      \"record\": \"35\u201316\u20136\u20133\"\n    },\n    {\n      \"march\": 22,\n      \"record\": \"35\u201316\u20136\u20133\"\n    }\n  ]\n}", "idx": 31436}
{"context": "CREATE TABLE table_2866503_1 (us_air_date VARCHAR, us_viewers__million_ VARCHAR)", "sql_query": "select us_air_date from table_2866503_1 where us_viewers__million_ = '7.5'", "question": "What is the U.S. air date when the U.S. viewers are 7.5 million?", "data_table": "{\n  \"table_2866503_1\": [\n    {\n      \"us_air_date\": \"2021-01-01\",\n      \"us_viewers__million_\": \"7.5\"\n    },\n    {\n      \"us_air_date\": \"2021-01-02\",\n      \"us_viewers__million_\": \"5.2\"\n    },\n    {\n      \"us_air_date\": \"2021-01-03\",\n      \"us_viewers__million_\": \"6.8\"\n    },\n    {\n      \"us_air_date\": \"2021-01-04\",\n      \"us_viewers__million_\": \"7.5\"\n    },\n    {\n      \"us_air_date\": \"2021-01-05\",\n      \"us_viewers__million_\": \"4.3\"\n    },\n    {\n      \"us_air_date\": \"2021-01-06\",\n      \"us_viewers__million_\": \"7.5\"\n    },\n    {\n      \"us_air_date\": \"2021-01-07\",\n      \"us_viewers__million_\": \"6.1\"\n    },\n    {\n      \"us_air_date\": \"2021-01-08\",\n      \"us_viewers__million_\": \"7.5\"\n    },\n    {\n      \"us_air_date\": \"2021-01-09\",\n      \"us_viewers__million_\": \"8.2\"\n    },\n    {\n      \"us_air_date\": \"2021-01-10\",\n      \"us_viewers__million_\": \"7.5\"\n    }\n  ]\n}", "idx": 31437}
{"context": "CREATE TABLE station (name VARCHAR, station_id VARCHAR); CREATE TABLE train (name VARCHAR, train_id VARCHAR); CREATE TABLE train_station (station_id VARCHAR, train_id VARCHAR)", "sql_query": "select t2.name, t3.name from train_station as t1 join station as t2 on t1.station_id = t2.station_id join train as t3 on t3.train_id = t1.train_id", "question": "show the train name and station name for each train.", "data_table": "{\n  \"station\": [\n    {\n      \"name\": \"grand central\",\n      \"station_id\": \"sc001\"\n    },\n    {\n      \"name\": \"penn station\",\n      \"station_id\": \"sc002\"\n    },\n    {\n      \"name\": \"union station\",\n      \"station_id\": \"sc003\"\n    },\n    {\n      \"name\": \"king's cross\",\n      \"station_id\": \"sc004\"\n    },\n    {\n      \"name\": \"shinjuku\",\n      \"station_id\": \"sc005\"\n    },\n    {\n      \"name\": \"central station\",\n      \"station_id\": \"sc006\"\n    },\n    {\n      \"name\": \"termini\",\n      \"station_id\": \"sc007\"\n    },\n    {\n      \"name\": \"gare du nord\",\n      \"station_id\": \"sc008\"\n    },\n    {\n      \"name\": \"hauptbahnhof\",\n      \"station_id\": \"sc009\"\n    },\n    {\n      \"name\": \"atocha\",\n      \"station_id\": \"sc010\"\n    }\n  ],\n  \"train\": [\n    {\n      \"name\": \"orient express\",\n      \"train_id\": \"tr001\"\n    },\n    {\n      \"name\": \"bullet train\",\n      \"train_id\": \"tr002\"\n    },\n    {\n      \"name\": \"eurostar\",\n      \"train_id\": \"tr003\"\n    },\n    {\n      \"name\": \"trans-siberian\",\n      \"train_id\": \"tr004\"\n    },\n    {\n      \"name\": \"tgv\",\n      \"train_id\": \"tr005\"\n    },\n    {\n      \"name\": \"ice\",\n      \"train_id\": \"tr006\"\n    },\n    {\n      \"name\": \"shinkansen\",\n      \"train_id\": \"tr007\"\n    },\n    {\n      \"name\": \"acela express\",\n      \"train_id\": \"tr008\"\n    },\n    {\n      \"name\": \"allegro\",\n      \"train_id\": \"tr009\"\n    },\n    {\n      \"name\": \"thalys\",\n      \"train_id\": \"tr010\"\n    }\n  ],\n  \"train_station\": [\n    {\n      \"station_id\": \"sc001\",\n      \"train_id\": \"tr001\"\n    },\n    {\n      \"station_id\": \"sc002\",\n      \"train_id\": \"tr002\"\n    },\n    {\n      \"station_id\": \"sc003\",\n      \"train_id\": \"tr003\"\n    },\n    {\n      \"station_id\": \"sc004\",\n      \"train_id\": \"tr004\"\n    },\n    {\n      \"station_id\": \"sc005\",\n      \"train_id\": \"tr005\"\n    },\n    {\n      \"station_id\": \"sc006\",\n      \"train_id\": \"tr006\"\n    },\n    {\n      \"station_id\": \"sc007\",\n      \"train_id\": \"tr007\"\n    },\n    {\n      \"station_id\": \"sc008\",\n      \"train_id\": \"tr008\"\n    },\n    {\n      \"station_id\": \"sc009\",\n      \"train_id\": \"tr009\"\n    },\n    {\n      \"station_id\": \"sc010\",\n      \"train_id\": \"tr010\"\n    }\n  ]\n}", "idx": 31440}
{"context": "CREATE TABLE table_name_70 (name VARCHAR, constituency_number VARCHAR)", "sql_query": "select name from table_name_70 where constituency_number = '150'", "question": "what is the name when the constituency number is 150?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"name\": \"john smith\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"jane doe\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"michael johnson\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"emily brown\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"david wilson\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"sarah thompson\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"daniel davis\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"olivia martinez\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"matthew anderson\",\n      \"constituency_number\": \"150\"\n    },\n    {\n      \"name\": \"sophia taylor\",\n      \"constituency_number\": \"150\"\n    }\n  ]\n}", "idx": 31441}
{"context": "CREATE TABLE table_name_33 (rowers VARCHAR, notes VARCHAR, time VARCHAR)", "sql_query": "select rowers from table_name_33 where notes = 'fa' and time = '6:41.45'", "question": "Who are the rowers with a time of 6:41.45 and notes of FA?", "data_table": "{\n  \"table_name_33\": [\n    {\n      \"rowers\": \"john\",\n      \"notes\": \"fa\",\n      \"time\": \"6:41.45\"\n    },\n    {\n      \"rowers\": \"emily\",\n      \"notes\": \"fa\",\n      \"time\": \"6:41.45\"\n    },\n    {\n      \"rowers\": \"michael\",\n      \"notes\": \"dnf\",\n      \"time\": \"7:12.32\"\n    },\n    {\n      \"rowers\": \"sarah\",\n      \"notes\": \"dnf\",\n      \"time\": \"7:12.32\"\n    },\n    {\n      \"rowers\": \"david\",\n      \"notes\": \"dnf\",\n      \"time\": \"7:12.32\"\n    },\n    {\n      \"rowers\": \"jessica\",\n      \"notes\": \"dnf\",\n      \"time\": \"7:12.32\"\n    },\n    {\n      \"rowers\": \"daniel\",\n      \"notes\": \"dsq\",\n      \"time\": \"6:59.21\"\n    },\n    {\n      \"rowers\": \"olivia\",\n      \"notes\": \"dsq\",\n      \"time\": \"6:59.21\"\n    },\n    {\n      \"rowers\": \"matthew\",\n      \"notes\": \"dsq\",\n      \"time\": \"6:59.21\"\n    },\n    {\n      \"rowers\": \"sophia\",\n      \"notes\": \"dsq\",\n      \"time\": \"6:59.21\"\n    }\n  ]\n}", "idx": 31442}
{"context": "CREATE TABLE table_27069503_2 (conf_record VARCHAR, overall VARCHAR)", "sql_query": "select conf_record from table_27069503_2 where overall = '33-4-1'", "question": "What was the conference record in the season where the Pandas had an overall record of 33-4-1?", "data_table": "{\n  \"table_27069503_2\": [\n    {\n      \"conf_record\": \"12-3\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"8-7\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"5-10\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"9-6\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"11-4\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"7-8\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"6-9\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"10-5\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"4-11\",\n      \"overall\": \"33-4-1\"\n    },\n    {\n      \"conf_record\": \"3-12\",\n      \"overall\": \"33-4-1\"\n    }\n  ]\n}", "idx": 31443}
{"context": "CREATE TABLE table_name_1 (score INTEGER, place VARCHAR, player VARCHAR)", "sql_query": "select min(score) from table_name_1 where place = 't3' and player = 'lee janzen'", "question": "What was T3 player Lee Janzen's score?", "data_table": "{\n  \"table_name_1\": [\n    {\n      \"score\": 85,\n      \"place\": \"t1\",\n      \"player\": \"tiger woods\"\n    },\n    {\n      \"score\": 72,\n      \"place\": \"t2\",\n      \"player\": \"phil mickelson\"\n    },\n    {\n      \"score\": 68,\n      \"place\": \"t3\",\n      \"player\": \"lee janzen\"\n    },\n    {\n      \"score\": 79,\n      \"place\": \"t4\",\n      \"player\": \"ernie els\"\n    },\n    {\n      \"score\": 76,\n      \"place\": \"t5\",\n      \"player\": \"vijay singh\"\n    },\n    {\n      \"score\": 71,\n      \"place\": \"t6\",\n      \"player\": \"david duval\"\n    },\n    {\n      \"score\": 83,\n      \"place\": \"t7\",\n      \"player\": \"jim furyk\"\n    },\n    {\n      \"score\": 74,\n      \"place\": \"t8\",\n      \"player\": \"justin rose\"\n    },\n    {\n      \"score\": 77,\n      \"place\": \"t9\",\n      \"player\": \"adam scott\"\n    },\n    {\n      \"score\": 80,\n      \"place\": \"t10\",\n      \"player\": \"sergio garcia\"\n    }\n  ]\n}", "idx": 31444}
{"context": "CREATE TABLE table_name_53 (decision VARCHAR, visitor VARCHAR)", "sql_query": "select decision from table_name_53 where visitor = 'carolina'", "question": "What was the Decision when the Visitor was Carolina?", "data_table": "{\n  \"table_name_53\": [\n    {\n      \"decision\": \"yes\",\n      \"visitor\": \"carolina\"\n    },\n    {\n      \"decision\": \"no\",\n      \"visitor\": \"john\"\n    },\n    {\n      \"decision\": \"maybe\",\n      \"visitor\": \"carolina\"\n    },\n    {\n      \"decision\": \"yes\",\n      \"visitor\": \"michael\"\n    },\n    {\n      \"decision\": \"no\",\n      \"visitor\": \"carolina\"\n    },\n    {\n      \"decision\": \"maybe\",\n      \"visitor\": \"james\"\n    },\n    {\n      \"decision\": \"yes\",\n      \"visitor\": \"carolina\"\n    },\n    {\n      \"decision\": \"no\",\n      \"visitor\": \"emily\"\n    },\n    {\n      \"decision\": \"maybe\",\n      \"visitor\": \"carolina\"\n    },\n    {\n      \"decision\": \"yes\",\n      \"visitor\": \"david\"\n    }\n  ]\n}", "idx": 31446}
{"context": "CREATE TABLE table_15740666_6 (current_streak VARCHAR, last_meeting VARCHAR)", "sql_query": "select current_streak from table_15740666_6 where last_meeting = '12/5/1987'", "question": "if they played last on 12/5/1987 what is their record", "data_table": "{\n  \"table_15740666_6\": [\n    {\n      \"current_streak\": \"5\",\n      \"last_meeting\": \"12/5/1987\"\n    },\n    {\n      \"current_streak\": \"3\",\n      \"last_meeting\": \"11/10/1999\"\n    },\n    {\n      \"current_streak\": \"7\",\n      \"last_meeting\": \"6/20/2010\"\n    },\n    {\n      \"current_streak\": \"2\",\n      \"last_meeting\": \"9/15/2005\"\n    },\n    {\n      \"current_streak\": \"4\",\n      \"last_meeting\": \"3/8/2018\"\n    },\n    {\n      \"current_streak\": \"6\",\n      \"last_meeting\": \"7/1/1992\"\n    },\n    {\n      \"current_streak\": \"1\",\n      \"last_meeting\": \"4/12/2007\"\n    },\n    {\n      \"current_streak\": \"8\",\n      \"last_meeting\": \"10/30/2015\"\n    },\n    {\n      \"current_streak\": \"9\",\n      \"last_meeting\": \"8/5/2003\"\n    },\n    {\n      \"current_streak\": \"10\",\n      \"last_meeting\": \"2/14/2011\"\n    }\n  ]\n}", "idx": 31447}
{"context": "CREATE TABLE table_name_91 (required_os VARCHAR, developer_s_ VARCHAR)", "sql_query": "select required_os from table_name_91 where developer_s_ = 'stunlock studios'", "question": "What was the minimum operating system required by Stunlock Studios' game?", "data_table": "{\n  \"table_name_91\": [\n    {\n      \"required_os\": \"windows\",\n      \"developer_s_\": \"stunlock studios\"\n    },\n    {\n      \"required_os\": \"mac\",\n      \"developer_s_\": \"ubisoft\"\n    },\n    {\n      \"required_os\": \"linux\",\n      \"developer_s_\": \"stunlock studios\"\n    },\n    {\n      \"required_os\": \"windows\",\n      \"developer_s_\": \"rockstar games\"\n    },\n    {\n      \"required_os\": \"mac\",\n      \"developer_s_\": \"stunlock studios\"\n    },\n    {\n      \"required_os\": \"linux\",\n      \"developer_s_\": \"ubisoft\"\n    },\n    {\n      \"required_os\": \"windows\",\n      \"developer_s_\": \"electronic arts\"\n    },\n    {\n      \"required_os\": \"mac\",\n      \"developer_s_\": \"rockstar games\"\n    },\n    {\n      \"required_os\": \"linux\",\n      \"developer_s_\": \"electronic arts\"\n    },\n    {\n      \"required_os\": \"windows\",\n      \"developer_s_\": \"ubisoft\"\n    }\n  ]\n}", "idx": 31448}
{"context": "CREATE TABLE table_name_36 (guns VARCHAR, superintendent VARCHAR)", "sql_query": "select guns from table_name_36 where superintendent = 'silas talbot'", "question": "What is the number of guns when the superintendent was Silas Talbot?", "data_table": "{\n  \"table_name_36\": [\n    {\n      \"guns\": \"ak-47\",\n      \"superintendent\": \"silas talbot\"\n    },\n    {\n      \"guns\": \"m16\",\n      \"superintendent\": \"silas talbot\"\n    },\n    {\n      \"guns\": \"glock 19\",\n      \"superintendent\": \"john smith\"\n    },\n    {\n      \"guns\": \"mp5\",\n      \"superintendent\": \"john smith\"\n    },\n    {\n      \"guns\": \"ar-15\",\n      \"superintendent\": \"jane doe\"\n    },\n    {\n      \"guns\": \"beretta 92\",\n      \"superintendent\": \"jane doe\"\n    },\n    {\n      \"guns\": \"remington 870\",\n      \"superintendent\": \"michael johnson\"\n    },\n    {\n      \"guns\": \"sig sauer p226\",\n      \"superintendent\": \"michael johnson\"\n    },\n    {\n      \"guns\": \"colt python\",\n      \"superintendent\": \"silas talbot\"\n    },\n    {\n      \"guns\": \"smith & wesson m&p\",\n      \"superintendent\": \"john smith\"\n    }\n  ]\n}", "idx": 31449}
{"context": "CREATE TABLE table_name_43 (competition VARCHAR, date VARCHAR)", "sql_query": "select competition from table_name_43 where date = '26 jan 2005'", "question": "What is the Competition On 26 jan 2005", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"competition\": \"premier league\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"la liga\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"serie a\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"bundesliga\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"ligue 1\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"eredivisie\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"primeira liga\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"super lig\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"scottish premiership\",\n      \"date\": \"26 jan 2005\"\n    },\n    {\n      \"competition\": \"mls\",\n      \"date\": \"26 jan 2005\"\n    }\n  ]\n}", "idx": 31450}
{"context": "CREATE TABLE table_name_64 (attendance VARCHAR, record VARCHAR)", "sql_query": "select count(attendance) from table_name_64 where record = '26-35'", "question": "What was the attendance at the ballpark during the game where the Blue Jays had a record of 26-35 during the 1996 season?", "data_table": "{\n  \"table_name_64\": [\n    {\n      \"attendance\": \"present\",\n      \"record\": \"26-35\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"record\": \"26-35\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"record\": \"36-45\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"record\": \"46-55\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"record\": \"56-65\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"record\": \"26-35\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"record\": \"36-45\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"record\": \"46-55\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"record\": \"56-65\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"record\": \"26-35\"\n    }\n  ]\n}", "idx": 31451}
{"context": "CREATE TABLE table_name_57 (record VARCHAR, method VARCHAR, opponent VARCHAR)", "sql_query": "select record from table_name_57 where method = 'tko (strikes)' and opponent = 'daan kooiman'", "question": "Which record has tko (strikes) as the method, and daan kooiman as the opponent?", "data_table": "{\n  \"table_name_57\": [\n    {\n      \"record\": \"win\",\n      \"method\": \"submission\",\n      \"opponent\": \"john smith\"\n    },\n    {\n      \"record\": \"loss\",\n      \"method\": \"decision\",\n      \"opponent\": \"mike johnson\"\n    },\n    {\n      \"record\": \"win\",\n      \"method\": \"tko (strikes)\",\n      \"opponent\": \"daan kooiman\"\n    },\n    {\n      \"record\": \"win\",\n      \"method\": \"submission\",\n      \"opponent\": \"james brown\"\n    },\n    {\n      \"record\": \"loss\",\n      \"method\": \"submission\",\n      \"opponent\": \"alexander lee\"\n    },\n    {\n      \"record\": \"win\",\n      \"method\": \"decision\",\n      \"opponent\": \"robert jones\"\n    },\n    {\n      \"record\": \"loss\",\n      \"method\": \"tko (strikes)\",\n      \"opponent\": \"daan kooiman\"\n    },\n    {\n      \"record\": \"win\",\n      \"method\": \"submission\",\n      \"opponent\": \"michael smith\"\n    },\n    {\n      \"record\": \"loss\",\n      \"method\": \"decision\",\n      \"opponent\": \"john doe\"\n    },\n    {\n      \"record\": \"win\",\n      \"method\": \"tko (strikes)\",\n      \"opponent\": \"daan kooiman\"\n    }\n  ]\n}", "idx": 31452}
{"context": "CREATE TABLE table_name_70 (year VARCHAR, cup_position VARCHAR, league_position VARCHAR)", "sql_query": "select year from table_name_70 where cup_position = 'round 1' and league_position = '5/12'", "question": "What year had a cup position of round 1 and a league position of 5/12?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"year\": \"2015\",\n      \"cup_position\": \"round 1\",\n      \"league_position\": \"5/12\"\n    },\n    {\n      \"year\": \"2016\",\n      \"cup_position\": \"round 2\",\n      \"league_position\": \"3/12\"\n    },\n    {\n      \"year\": \"2017\",\n      \"cup_position\": \"round 1\",\n      \"league_position\": \"7/12\"\n    },\n    {\n      \"year\": \"2018\",\n      \"cup_position\": \"round 3\",\n      \"league_position\": \"2/12\"\n    },\n    {\n      \"year\": \"2019\",\n      \"cup_position\": \"round 1\",\n      \"league_position\": \"6/12\"\n    },\n    {\n      \"year\": \"2020\",\n      \"cup_position\": \"round 2\",\n      \"league_position\": \"4/12\"\n    },\n    {\n      \"year\": \"2021\",\n      \"cup_position\": \"round 1\",\n      \"league_position\": \"8/12\"\n    },\n    {\n      \"year\": \"2022\",\n      \"cup_position\": \"round 2\",\n      \"league_position\": \"1/12\"\n    },\n    {\n      \"year\": \"2023\",\n      \"cup_position\": \"round 1\",\n      \"league_position\": \"9/12\"\n    },\n    {\n      \"year\": \"2024\",\n      \"cup_position\": \"round 3\",\n      \"league_position\": \"10/12\"\n    }\n  ]\n}", "idx": 31454}
{"context": "CREATE TABLE table_name_70 (remixed_by VARCHAR, version VARCHAR)", "sql_query": "select remixed_by from table_name_70 where version = 'radio edit'", "question": "Who was the Radio Edit Version remixed by?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"remixed_by\": \"dj a\",\n      \"version\": \"radio edit\"\n    },\n    {\n      \"remixed_by\": \"dj b\",\n      \"version\": \"extended mix\"\n    },\n    {\n      \"remixed_by\": \"dj c\",\n      \"version\": \"radio edit\"\n    },\n    {\n      \"remixed_by\": \"dj d\",\n      \"version\": \"club mix\"\n    },\n    {\n      \"remixed_by\": \"dj e\",\n      \"version\": \"radio edit\"\n    },\n    {\n      \"remixed_by\": \"dj f\",\n      \"version\": \"acoustic version\"\n    },\n    {\n      \"remixed_by\": \"dj g\",\n      \"version\": \"radio edit\"\n    },\n    {\n      \"remixed_by\": \"dj h\",\n      \"version\": \"remix\"\n    },\n    {\n      \"remixed_by\": \"dj i\",\n      \"version\": \"radio edit\"\n    },\n    {\n      \"remixed_by\": \"dj j\",\n      \"version\": \"instrumental\"\n    }\n  ]\n}", "idx": 31455}
{"context": "CREATE TABLE table_1342249_35 (incumbent VARCHAR, district VARCHAR)", "sql_query": "select incumbent from table_1342249_35 where district = 'ohio 12'", "question": "What is the incumbent for ohio 12?", "data_table": "{\n  \"table_1342249_35\": [\n    {\n      \"incumbent\": \"john smith\",\n      \"district\": \"ohio 12\"\n    },\n    {\n      \"incumbent\": \"jane doe\",\n      \"district\": \"ohio 12\"\n    },\n    {\n      \"incumbent\": \"michael johnson\",\n      \"district\": \"ohio 7\"\n    },\n    {\n      \"incumbent\": \"emily brown\",\n      \"district\": \"ohio 7\"\n    },\n    {\n      \"incumbent\": \"david wilson\",\n      \"district\": \"ohio 9\"\n    },\n    {\n      \"incumbent\": \"sarah thompson\",\n      \"district\": \"ohio 9\"\n    },\n    {\n      \"incumbent\": \"robert davis\",\n      \"district\": \"ohio 3\"\n    },\n    {\n      \"incumbent\": \"jennifer martinez\",\n      \"district\": \"ohio 3\"\n    },\n    {\n      \"incumbent\": \"william anderson\",\n      \"district\": \"ohio 1\"\n    },\n    {\n      \"incumbent\": \"jessica taylor\",\n      \"district\": \"ohio 1\"\n    }\n  ]\n}", "idx": 31456}
{"context": "CREATE TABLE table_name_57 (nba_draft VARCHAR, school VARCHAR)", "sql_query": "select nba_draft from table_name_57 where school = 'huntington high school'", "question": "Which NBA draft has a School of huntington high school?", "data_table": "{\n  \"table_name_57\": [\n    {\n      \"nba_draft\": \"2010\",\n      \"school\": \"huntington high school\"\n    },\n    {\n      \"nba_draft\": \"2012\",\n      \"school\": \"huntington high school\"\n    },\n    {\n      \"nba_draft\": \"2008\",\n      \"school\": \"central high school\"\n    },\n    {\n      \"nba_draft\": \"2015\",\n      \"school\": \"central high school\"\n    },\n    {\n      \"nba_draft\": \"2011\",\n      \"school\": \"oakland high school\"\n    },\n    {\n      \"nba_draft\": \"2014\",\n      \"school\": \"oakland high school\"\n    },\n    {\n      \"nba_draft\": \"2009\",\n      \"school\": \"west high school\"\n    },\n    {\n      \"nba_draft\": \"2013\",\n      \"school\": \"west high school\"\n    },\n    {\n      \"nba_draft\": \"2007\",\n      \"school\": \"east high school\"\n    },\n    {\n      \"nba_draft\": \"2016\",\n      \"school\": \"east high school\"\n    }\n  ]\n}", "idx": 31459}
{"context": "CREATE TABLE table_name_58 (year VARCHAR, edition VARCHAR)", "sql_query": "select year from table_name_58 where edition = '41st'", "question": "Which Year has an Edition of 41st?", "data_table": "{\n  \"table_name_58\": [\n    {\n      \"year\": \"2010\",\n      \"edition\": \"41st\"\n    },\n    {\n      \"year\": \"2011\",\n      \"edition\": \"42nd\"\n    },\n    {\n      \"year\": \"2012\",\n      \"edition\": \"43rd\"\n    },\n    {\n      \"year\": \"2013\",\n      \"edition\": \"44th\"\n    },\n    {\n      \"year\": \"2014\",\n      \"edition\": \"45th\"\n    },\n    {\n      \"year\": \"2015\",\n      \"edition\": \"46th\"\n    },\n    {\n      \"year\": \"2016\",\n      \"edition\": \"47th\"\n    },\n    {\n      \"year\": \"2017\",\n      \"edition\": \"48th\"\n    },\n    {\n      \"year\": \"2018\",\n      \"edition\": \"49th\"\n    },\n    {\n      \"year\": \"2019\",\n      \"edition\": \"50th\"\n    }\n  ]\n}", "idx": 31460}
{"context": "CREATE TABLE table_1132568_3 (rd VARCHAR, grand_prix VARCHAR)", "sql_query": "select count(rd) from table_1132568_3 where grand_prix = 'austrian grand_prix'", "question": "How many on the list are called the Austrian Grand Prix?", "data_table": "{\n  \"table_1132568_3\": [\n    {\n      \"rd\": \"rd1\",\n      \"grand_prix\": \"austrian grand_prix\"\n    },\n    {\n      \"rd\": \"rd2\",\n      \"grand_prix\": \"austrian grand_prix\"\n    },\n    {\n      \"rd\": \"rd3\",\n      \"grand_prix\": \"italian grand_prix\"\n    },\n    {\n      \"rd\": \"rd4\",\n      \"grand_prix\": \"spanish grand_prix\"\n    },\n    {\n      \"rd\": \"rd5\",\n      \"grand_prix\": \"austrian grand_prix\"\n    },\n    {\n      \"rd\": \"rd6\",\n      \"grand_prix\": \"italian grand_prix\"\n    },\n    {\n      \"rd\": \"rd7\",\n      \"grand_prix\": \"spanish grand_prix\"\n    },\n    {\n      \"rd\": \"rd8\",\n      \"grand_prix\": \"german grand_prix\"\n    },\n    {\n      \"rd\": \"rd9\",\n      \"grand_prix\": \"austrian grand_prix\"\n    },\n    {\n      \"rd\": \"rd10\",\n      \"grand_prix\": \"german grand_prix\"\n    }\n  ]\n}", "idx": 31461}
{"context": "CREATE TABLE table_name_72 (loser VARCHAR, sport VARCHAR)", "sql_query": "select loser from table_name_72 where sport = 'hockey'", "question": "What losing team plays hockey?", "data_table": "{\n  \"table_name_72\": [\n    {\n      \"loser\": \"john\",\n      \"sport\": \"hockey\"\n    },\n    {\n      \"loser\": \"mike\",\n      \"sport\": \"hockey\"\n    },\n    {\n      \"loser\": \"sarah\",\n      \"sport\": \"basketball\"\n    },\n    {\n      \"loser\": \"emily\",\n      \"sport\": \"basketball\"\n    },\n    {\n      \"loser\": \"david\",\n      \"sport\": \"soccer\"\n    },\n    {\n      \"loser\": \"alex\",\n      \"sport\": \"soccer\"\n    },\n    {\n      \"loser\": \"chris\",\n      \"sport\": \"tennis\"\n    },\n    {\n      \"loser\": \"jessica\",\n      \"sport\": \"tennis\"\n    },\n    {\n      \"loser\": \"ryan\",\n      \"sport\": \"baseball\"\n    },\n    {\n      \"loser\": \"daniel\",\n      \"sport\": \"baseball\"\n    }\n  ]\n}", "idx": 31462}
{"context": "CREATE TABLE table_name_42 (season INTEGER, last_aired VARCHAR)", "sql_query": "select min(season) from table_name_42 where last_aired = 'august 20, 2010'", "question": "Of the series that last aired August 20, 2010, what is the lowest number of seasons?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"season\": 1,\n      \"last_aired\": \"august 20, 2010\"\n    },\n    {\n      \"season\": 2,\n      \"last_aired\": \"september 5, 2011\"\n    },\n    {\n      \"season\": 3,\n      \"last_aired\": \"june 10, 2012\"\n    },\n    {\n      \"season\": 4,\n      \"last_aired\": \"april 30, 2013\"\n    },\n    {\n      \"season\": 5,\n      \"last_aired\": \"march 15, 2014\"\n    },\n    {\n      \"season\": 6,\n      \"last_aired\": \"february 1, 2015\"\n    },\n    {\n      \"season\": 7,\n      \"last_aired\": \"january 10, 2016\"\n    },\n    {\n      \"season\": 8,\n      \"last_aired\": \"december 5, 2016\"\n    },\n    {\n      \"season\": 9,\n      \"last_aired\": \"november 20, 2017\"\n    },\n    {\n      \"season\": 10,\n      \"last_aired\": \"october 15, 2018\"\n    }\n  ]\n}", "idx": 31463}
{"context": "CREATE TABLE table_name_29 (size_difference VARCHAR, prefix VARCHAR)", "sql_query": "select size_difference from table_name_29 where prefix = 'exa'", "question": "What is the size difference for exa?", "data_table": "{\n  \"table_name_29\": [\n    {\n      \"size_difference\": \"small\",\n      \"prefix\": \"exa\"\n    },\n    {\n      \"size_difference\": \"large\",\n      \"prefix\": \"exa\"\n    },\n    {\n      \"size_difference\": \"medium\",\n      \"prefix\": \"giga\"\n    },\n    {\n      \"size_difference\": \"small\",\n      \"prefix\": \"kilo\"\n    },\n    {\n      \"size_difference\": \"medium\",\n      \"prefix\": \"exa\"\n    },\n    {\n      \"size_difference\": \"large\",\n      \"prefix\": \"kilo\"\n    },\n    {\n      \"size_difference\": \"small\",\n      \"prefix\": \"giga\"\n    },\n    {\n      \"size_difference\": \"medium\",\n      \"prefix\": \"mega\"\n    },\n    {\n      \"size_difference\": \"large\",\n      \"prefix\": \"giga\"\n    },\n    {\n      \"size_difference\": \"medium\",\n      \"prefix\": \"kilo\"\n    }\n  ]\n}", "idx": 31464}
{"context": "CREATE TABLE table_name_9 (location_attendance VARCHAR, record VARCHAR)", "sql_query": "select location_attendance from table_name_9 where record = '41\u201336'", "question": "What shows for the location and attendance when the record is 41\u201336?", "data_table": "{\n  \"table_name_9\": [\n    {\n      \"location_attendance\": \"new york\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"los angeles\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"chicago\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"san francisco\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"seattle\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"boston\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"dallas\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"miami\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"denver\",\n      \"record\": \"41\u201336\"\n    },\n    {\n      \"location_attendance\": \"phoenix\",\n      \"record\": \"41\u201336\"\n    }\n  ]\n}", "idx": 31465}
{"context": "CREATE TABLE table_name_73 (venue VARCHAR, city VARCHAR)", "sql_query": "select venue from table_name_73 where city = 'long beach'", "question": "What venue is in Long Beach?", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"venue\": \"stadium\",\n      \"city\": \"los angeles\"\n    },\n    {\n      \"venue\": \"arena\",\n      \"city\": \"new york\"\n    },\n    {\n      \"venue\": \"theater\",\n      \"city\": \"chicago\"\n    },\n    {\n      \"venue\": \"convention center\",\n      \"city\": \"las vegas\"\n    },\n    {\n      \"venue\": \"amphitheater\",\n      \"city\": \"austin\"\n    },\n    {\n      \"venue\": \"auditorium\",\n      \"city\": \"san francisco\"\n    },\n    {\n      \"venue\": \"coliseum\",\n      \"city\": \"miami\"\n    },\n    {\n      \"venue\": \"pavilion\",\n      \"city\": \"seattle\"\n    },\n    {\n      \"venue\": \"gymnasium\",\n      \"city\": \"boston\"\n    },\n    {\n      \"venue\": \"stadium\",\n      \"city\": \"long beach\"\n    }\n  ]\n}", "idx": 31467}
{"context": "CREATE TABLE table_name_13 (opponent VARCHAR, record VARCHAR)", "sql_query": "select opponent from table_name_13 where record = '54-58'", "question": "Who was the opponent at the game when the record was 54-58?", "data_table": "{\n  \"table_name_13\": [\n    {\n      \"opponent\": \"team a\",\n      \"record\": \"54-58\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"record\": \"60-52\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"record\": \"48-64\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"record\": \"54-58\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"record\": \"56-56\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"record\": \"54-58\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"record\": \"62-50\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"record\": \"54-58\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"record\": \"58-54\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"record\": \"54-58\"\n    }\n  ]\n}", "idx": 31468}
{"context": "CREATE TABLE CARS_DATA (edispl INTEGER, Id VARCHAR); CREATE TABLE CAR_NAMES (MakeId VARCHAR, Model VARCHAR)", "sql_query": "select avg(t2.edispl) from car_names as t1 join cars_data as t2 on t1.makeid = t2.id where t1.model = 'volvo'", "question": "What is the average edispl of the cars of model volvo?", "data_table": "{\n  \"cars_data\": [\n    {\n      \"edispl\": 1500,\n      \"id\": \"abc123\"\n    },\n    {\n      \"edispl\": 2000,\n      \"id\": \"def456\"\n    },\n    {\n      \"edispl\": 1800,\n      \"id\": \"ghi789\"\n    },\n    {\n      \"edispl\": 1700,\n      \"id\": \"jkl012\"\n    },\n    {\n      \"edispl\": 1900,\n      \"id\": \"mno345\"\n    },\n    {\n      \"edispl\": 1600,\n      \"id\": \"pqr678\"\n    },\n    {\n      \"edispl\": 2100,\n      \"id\": \"stu901\"\n    },\n    {\n      \"edispl\": 2200,\n      \"id\": \"vwx234\"\n    },\n    {\n      \"edispl\": 2300,\n      \"id\": \"yza567\"\n    },\n    {\n      \"edispl\": 2400,\n      \"id\": \"bcd890\"\n    }\n  ],\n  \"car_names\": [\n    {\n      \"makeid\": \"abc123\",\n      \"model\": \"volvo\"\n    },\n    {\n      \"makeid\": \"def456\",\n      \"model\": \"bmw\"\n    },\n    {\n      \"makeid\": \"ghi789\",\n      \"model\": \"audi\"\n    },\n    {\n      \"makeid\": \"jkl012\",\n      \"model\": \"mercedes\"\n    },\n    {\n      \"makeid\": \"mno345\",\n      \"model\": \"volvo\"\n    },\n    {\n      \"makeid\": \"pqr678\",\n      \"model\": \"bmw\"\n    },\n    {\n      \"makeid\": \"stu901\",\n      \"model\": \"audi\"\n    },\n    {\n      \"makeid\": \"vwx234\",\n      \"model\": \"mercedes\"\n    },\n    {\n      \"makeid\": \"yza567\",\n      \"model\": \"volvo\"\n    },\n    {\n      \"makeid\": \"bcd890\",\n      \"model\": \"bmw\"\n    }\n  ]\n}", "idx": 31469}
{"context": "CREATE TABLE table_name_66 (power VARCHAR, name VARCHAR)", "sql_query": "select power from table_name_66 where name = '1.9 diesel'", "question": "What is the power of 1.9 diesel?", "data_table": "{\n  \"table_name_66\": [\n    {\n      \"power\": \"100 hp\",\n      \"name\": \"1.9 diesel\"\n    },\n    {\n      \"power\": \"120 hp\",\n      \"name\": \"2.0 diesel\"\n    },\n    {\n      \"power\": \"150 hp\",\n      \"name\": \"2.5 diesel\"\n    },\n    {\n      \"power\": \"180 hp\",\n      \"name\": \"3.0 diesel\"\n    },\n    {\n      \"power\": \"200 hp\",\n      \"name\": \"3.5 diesel\"\n    },\n    {\n      \"power\": \"110 hp\",\n      \"name\": \"1.6 petrol\"\n    },\n    {\n      \"power\": \"130 hp\",\n      \"name\": \"1.8 petrol\"\n    },\n    {\n      \"power\": \"160 hp\",\n      \"name\": \"2.0 petrol\"\n    },\n    {\n      \"power\": \"190 hp\",\n      \"name\": \"2.5 petrol\"\n    },\n    {\n      \"power\": \"220 hp\",\n      \"name\": \"3.0 petrol\"\n    }\n  ]\n}", "idx": 31470}
{"context": "CREATE TABLE table_260938_1 (base_10 VARCHAR, shortscale_comparison VARCHAR)", "sql_query": "select base_10 from table_260938_1 where shortscale_comparison = 'billion'", "question": "Name the base 10 for shortscale comparison for billion", "data_table": "{\n  \"table_260938_1\": [\n    {\n      \"base_10\": \"123\",\n      \"shortscale_comparison\": \"billion\"\n    },\n    {\n      \"base_10\": \"456\",\n      \"shortscale_comparison\": \"million\"\n    },\n    {\n      \"base_10\": \"789\",\n      \"shortscale_comparison\": \"billion\"\n    },\n    {\n      \"base_10\": \"101112\",\n      \"shortscale_comparison\": \"trillion\"\n    },\n    {\n      \"base_10\": \"131415\",\n      \"shortscale_comparison\": \"billion\"\n    },\n    {\n      \"base_10\": \"161718\",\n      \"shortscale_comparison\": \"million\"\n    },\n    {\n      \"base_10\": \"192021\",\n      \"shortscale_comparison\": \"billion\"\n    },\n    {\n      \"base_10\": \"222324\",\n      \"shortscale_comparison\": \"trillion\"\n    },\n    {\n      \"base_10\": \"252627\",\n      \"shortscale_comparison\": \"billion\"\n    },\n    {\n      \"base_10\": \"282930\",\n      \"shortscale_comparison\": \"million\"\n    }\n  ]\n}", "idx": 31473}
{"context": "CREATE TABLE table_11622840_1 (tournament VARCHAR, score VARCHAR)", "sql_query": "select count(tournament) from table_11622840_1 where score = '206 (-7)'", "question": "How many tournaments recorded a score of 206 (-7)?", "data_table": "{\n  \"table_11622840_1\": [\n    {\n      \"tournament\": \"us open\",\n      \"score\": \"206 (-7)\"\n    },\n    {\n      \"tournament\": \"masters\",\n      \"score\": \"210 (-6)\"\n    },\n    {\n      \"tournament\": \"pga championship\",\n      \"score\": \"198 (-14)\"\n    },\n    {\n      \"tournament\": \"the open championship\",\n      \"score\": \"202 (-10)\"\n    },\n    {\n      \"tournament\": \"players championship\",\n      \"score\": \"212 (-2)\"\n    },\n    {\n      \"tournament\": \"ryder cup\",\n      \"score\": \"204 (-8)\"\n    },\n    {\n      \"tournament\": \"fedex cup\",\n      \"score\": \"208 (-4)\"\n    },\n    {\n      \"tournament\": \"arnold palmer invitational\",\n      \"score\": \"214 (+2)\"\n    },\n    {\n      \"tournament\": \"wgc-mexico championship\",\n      \"score\": \"200 (-12)\"\n    },\n    {\n      \"tournament\": \"bmw championship\",\n      \"score\": \"206 (-6)\"\n    }\n  ]\n}", "idx": 31474}
{"context": "CREATE TABLE table_name_58 (rest_mass_mev___c_2 VARCHAR, makeup VARCHAR, spin___parity___j_p VARCHAR)", "sql_query": "select rest_mass_mev___c_2 from table_name_58 where makeup = 'u s s' and spin___parity___j_p = '3\u20442 +'", "question": "When the Makeup is u s s and the Spin (Parity) J P of 3\u20442 +, what is the Rest mass MeV/C2?", "data_table": "{\n  \"table_name_58\": [\n    {\n      \"rest_mass_mev___c_2\": \"1.2\",\n      \"makeup\": \"u s s\",\n      \"spin___parity___j_p\": \"3\u20442 +\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"0.8\",\n      \"makeup\": \"u d s\",\n      \"spin___parity___j_p\": \"1\u20442 -\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"1.5\",\n      \"makeup\": \"u u d\",\n      \"spin___parity___j_p\": \"1\u20442 +\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"0.9\",\n      \"makeup\": \"d d s\",\n      \"spin___parity___j_p\": \"3\u20442 -\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"1.3\",\n      \"makeup\": \"u d d\",\n      \"spin___parity___j_p\": \"1\u20442 +\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"1.1\",\n      \"makeup\": \"u s d\",\n      \"spin___parity___j_p\": \"3\u20442 +\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"1.4\",\n      \"makeup\": \"u u s\",\n      \"spin___parity___j_p\": \"1\u20442 -\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"0.7\",\n      \"makeup\": \"d s s\",\n      \"spin___parity___j_p\": \"3\u20442 -\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"1.0\",\n      \"makeup\": \"d d d\",\n      \"spin___parity___j_p\": \"1\u20442 +\"\n    },\n    {\n      \"rest_mass_mev___c_2\": \"0.6\",\n      \"makeup\": \"d s d\",\n      \"spin___parity___j_p\": \"3\u20442 +\"\n    }\n  ]\n}", "idx": 31475}
{"context": "CREATE TABLE table_1849243_1 (viewers__in_millions_ VARCHAR, run_time VARCHAR)", "sql_query": "select viewers__in_millions_ from table_1849243_1 where run_time = '23:55'", "question": "How many viewers in millions watched the episode 23:55 minutes long?", "data_table": "{\n  \"table_1849243_1\": [\n    {\n      \"viewers__in_millions_\": \"2.5\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"1.8\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"3.2\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"2.1\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"1.5\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"2.9\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"1.3\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"2.7\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"1.9\",\n      \"run_time\": \"23:55\"\n    },\n    {\n      \"viewers__in_millions_\": \"2.3\",\n      \"run_time\": \"23:55\"\n    }\n  ]\n}", "idx": 31476}
{"context": "CREATE TABLE airports (name VARCHAR, city VARCHAR, country VARCHAR, elevation VARCHAR)", "sql_query": "select name, city, country from airports order by elevation desc limit 1", "question": "Find the name, city, and country of the airport that has the highest latitude.", "data_table": "{\n  \"airports\": [\n    {\n      \"name\": \"john f. kennedy international airport\",\n      \"city\": \"new york\",\n      \"country\": \"united states\",\n      \"elevation\": \"13 ft\"\n    },\n    {\n      \"name\": \"heathrow airport\",\n      \"city\": \"london\",\n      \"country\": \"united kingdom\",\n      \"elevation\": \"83 ft\"\n    },\n    {\n      \"name\": \"charles de gaulle airport\",\n      \"city\": \"paris\",\n      \"country\": \"france\",\n      \"elevation\": \"392 ft\"\n    },\n    {\n      \"name\": \"sydney airport\",\n      \"city\": \"sydney\",\n      \"country\": \"australia\",\n      \"elevation\": \"21 ft\"\n    },\n    {\n      \"name\": \"narita international airport\",\n      \"city\": \"tokyo\",\n      \"country\": \"japan\",\n      \"elevation\": \"135 ft\"\n    },\n    {\n      \"name\": \"dubai international airport\",\n      \"city\": \"dubai\",\n      \"country\": \"united arab emirates\",\n      \"elevation\": \"62 ft\"\n    },\n    {\n      \"name\": \"beijing capital international airport\",\n      \"city\": \"beijing\",\n      \"country\": \"china\",\n      \"elevation\": \"115 ft\"\n    },\n    {\n      \"name\": \"cairo international airport\",\n      \"city\": \"cairo\",\n      \"country\": \"egypt\",\n      \"elevation\": \"382 ft\"\n    },\n    {\n      \"name\": \"s\u00e3o paulo-guarulhos international airport\",\n      \"city\": \"s\u00e3o paulo\",\n      \"country\": \"brazil\",\n      \"elevation\": \"2,457 ft\"\n    },\n    {\n      \"name\": \"johannesburg or tambo international airport\",\n      \"city\": \"johannesburg\",\n      \"country\": \"south africa\",\n      \"elevation\": \"5,558 ft\"\n    }\n  ]\n}", "idx": 31477}
{"context": "CREATE TABLE student (major VARCHAR)", "sql_query": "select count(*), major from student group by major", "question": "Find the number of students in each major.", "data_table": "{\n  \"student\": [\n    {\n      \"major\": \"computer science\"\n    },\n    {\n      \"major\": \"electrical engineering\"\n    },\n    {\n      \"major\": \"mechanical engineering\"\n    },\n    {\n      \"major\": \"biology\"\n    },\n    {\n      \"major\": \"psychology\"\n    },\n    {\n      \"major\": \"english\"\n    },\n    {\n      \"major\": \"history\"\n    },\n    {\n      \"major\": \"mathematics\"\n    },\n    {\n      \"major\": \"chemistry\"\n    },\n    {\n      \"major\": \"physics\"\n    }\n  ]\n}", "idx": 31478}
{"context": "CREATE TABLE table_name_57 (location VARCHAR, res VARCHAR, event VARCHAR)", "sql_query": "select location from table_name_57 where res = 'win' and event = 'superbrawl 16'", "question": "In which location did he win the Superbrawl 16 event?", "data_table": "{\n  \"table_name_57\": [\n    {\n      \"location\": \"new york\",\n      \"res\": \"win\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"res\": \"loss\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"res\": \"win\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"miami\",\n      \"res\": \"win\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"res\": \"loss\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"res\": \"win\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"boston\",\n      \"res\": \"loss\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"dallas\",\n      \"res\": \"win\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"houston\",\n      \"res\": \"loss\",\n      \"event\": \"superbrawl 16\"\n    },\n    {\n      \"location\": \"denver\",\n      \"res\": \"win\",\n      \"event\": \"superbrawl 16\"\n    }\n  ]\n}", "idx": 31479}
{"context": "CREATE TABLE table_2093995_1 (connections VARCHAR, stations VARCHAR)", "sql_query": "select count(connections) from table_2093995_1 where stations = 'tampa'", "question": "How many connection catagories are there for Tampa? ", "data_table": "{\n  \"table_2093995_1\": [\n    {\n      \"connections\": \"connection_1\",\n      \"stations\": \"tampa\"\n    },\n    {\n      \"connections\": \"connection_2\",\n      \"stations\": \"tampa\"\n    },\n    {\n      \"connections\": \"connection_3\",\n      \"stations\": \"miami\"\n    },\n    {\n      \"connections\": \"connection_4\",\n      \"stations\": \"orlando\"\n    },\n    {\n      \"connections\": \"connection_5\",\n      \"stations\": \"tampa\"\n    },\n    {\n      \"connections\": \"connection_6\",\n      \"stations\": \"miami\"\n    },\n    {\n      \"connections\": \"connection_7\",\n      \"stations\": \"orlando\"\n    },\n    {\n      \"connections\": \"connection_8\",\n      \"stations\": \"miami\"\n    },\n    {\n      \"connections\": \"connection_9\",\n      \"stations\": \"tampa\"\n    },\n    {\n      \"connections\": \"connection_10\",\n      \"stations\": \"orlando\"\n    }\n  ]\n}", "idx": 31480}
{"context": "CREATE TABLE table_21269143_1 (opponent VARCHAR, date VARCHAR)", "sql_query": "select count(opponent) from table_21269143_1 where date = '05/09/2009'", "question": "Name the total number of opponets for  05/09/2009", "data_table": "{\n  \"table_21269143_1\": [\n    {\n      \"opponent\": \"team a\",\n      \"date\": \"05/09/2009\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"date\": \"05/09/2009\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"date\": \"05/10/2009\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"date\": \"05/10/2009\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"date\": \"05/11/2009\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"date\": \"05/11/2009\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"date\": \"05/12/2009\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"date\": \"05/12/2009\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"date\": \"05/13/2009\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"date\": \"05/13/2009\"\n    }\n  ]\n}", "idx": 31481}
{"context": "CREATE TABLE table_name_60 (result VARCHAR, hometown VARCHAR)", "sql_query": "select result from table_name_60 where hometown = 'chicago, illinois'", "question": "What is the result for Chicago, Illinois?", "data_table": "{\n  \"table_name_60\": [\n    {\n      \"result\": \"pass\",\n      \"hometown\": \"chicago, illinois\"\n    },\n    {\n      \"result\": \"fail\",\n      \"hometown\": \"new york, new york\"\n    },\n    {\n      \"result\": \"pass\",\n      \"hometown\": \"los angeles, california\"\n    },\n    {\n      \"result\": \"fail\",\n      \"hometown\": \"miami, florida\"\n    },\n    {\n      \"result\": \"pass\",\n      \"hometown\": \"seattle, washington\"\n    },\n    {\n      \"result\": \"fail\",\n      \"hometown\": \"boston, massachusetts\"\n    },\n    {\n      \"result\": \"pass\",\n      \"hometown\": \"austin, texas\"\n    },\n    {\n      \"result\": \"fail\",\n      \"hometown\": \"denver, colorado\"\n    },\n    {\n      \"result\": \"pass\",\n      \"hometown\": \"san francisco, california\"\n    },\n    {\n      \"result\": \"fail\",\n      \"hometown\": \"portland, oregon\"\n    }\n  ]\n}", "idx": 31482}
{"context": "CREATE TABLE table_224839_3 (state__class_ VARCHAR, reason_for_change VARCHAR, vacator VARCHAR)", "sql_query": "select state__class_ from table_224839_3 where reason_for_change = 'resigned november 26, 1798' and vacator = 'john hunter ( dr )'", "question": "What are all the states (class) when the reason for change was resigned November 26, 1798 and the vacator was John Hunter ( DR )?", "data_table": "{\n  \"table_224839_3\": [\n    {\n      \"state__class_\": \"class a\",\n      \"reason_for_change\": \"resigned november 26, 1798\",\n      \"vacator\": \"john hunter ( dr )\"\n    },\n    {\n      \"state__class_\": \"class b\",\n      \"reason_for_change\": \"terminated december 10, 1802\",\n      \"vacator\": \"mary smith ( dr )\"\n    },\n    {\n      \"state__class_\": \"class c\",\n      \"reason_for_change\": \"resigned january 15, 1805\",\n      \"vacator\": \"robert jones ( dr )\"\n    },\n    {\n      \"state__class_\": \"class a\",\n      \"reason_for_change\": \"terminated february 20, 1807\",\n      \"vacator\": \"sarah brown ( dr )\"\n    },\n    {\n      \"state__class_\": \"class b\",\n      \"reason_for_change\": \"resigned march 25, 1810\",\n      \"vacator\": \"james wilson ( dr )\"\n    },\n    {\n      \"state__class_\": \"class c\",\n      \"reason_for_change\": \"terminated april 30, 1812\",\n      \"vacator\": \"emily thompson ( dr )\"\n    },\n    {\n      \"state__class_\": \"class a\",\n      \"reason_for_change\": \"resigned june 5, 1814\",\n      \"vacator\": \"david anderson ( dr )\"\n    },\n    {\n      \"state__class_\": \"class b\",\n      \"reason_for_change\": \"terminated july 10, 1816\",\n      \"vacator\": \"linda martin ( dr )\"\n    },\n    {\n      \"state__class_\": \"class c\",\n      \"reason_for_change\": \"resigned august 15, 1818\",\n      \"vacator\": \"peter wilson ( dr )\"\n    },\n    {\n      \"state__class_\": \"class a\",\n      \"reason_for_change\": \"terminated september 20, 1820\",\n      \"vacator\": \"jennifer thompson ( dr )\"\n    }\n  ]\n}", "idx": 31483}
{"context": "CREATE TABLE table_19753079_13 (district VARCHAR, incumbent VARCHAR)", "sql_query": "select district from table_19753079_13 where incumbent = 'john linder'", "question": "In what district is the incumbent John Linder?", "data_table": "{\n  \"table_19753079_13\": [\n    {\n      \"district\": \"district a\",\n      \"incumbent\": \"john linder\"\n    },\n    {\n      \"district\": \"district b\",\n      \"incumbent\": \"jane smith\"\n    },\n    {\n      \"district\": \"district c\",\n      \"incumbent\": \"john linder\"\n    },\n    {\n      \"district\": \"district d\",\n      \"incumbent\": \"michael johnson\"\n    },\n    {\n      \"district\": \"district e\",\n      \"incumbent\": \"sara thompson\"\n    },\n    {\n      \"district\": \"district f\",\n      \"incumbent\": \"john linder\"\n    },\n    {\n      \"district\": \"district g\",\n      \"incumbent\": \"david wilson\"\n    },\n    {\n      \"district\": \"district h\",\n      \"incumbent\": \"john linder\"\n    },\n    {\n      \"district\": \"district i\",\n      \"incumbent\": \"emily davis\"\n    },\n    {\n      \"district\": \"district j\",\n      \"incumbent\": \"john linder\"\n    }\n  ]\n}", "idx": 31484}
{"context": "CREATE TABLE table_10975034_4 (cfl_team VARCHAR, college VARCHAR)", "sql_query": "select cfl_team from table_10975034_4 where college = 'simon fraser'", "question": "What CFL teams are part of Simon Fraser college?", "data_table": "{\n  \"table_10975034_4\": [\n    {\n      \"cfl_team\": \"bc lions\",\n      \"college\": \"simon fraser\"\n    },\n    {\n      \"cfl_team\": \"calgary stampeders\",\n      \"college\": \"university of calgary\"\n    },\n    {\n      \"cfl_team\": \"edmonton elks\",\n      \"college\": \"university of alberta\"\n    },\n    {\n      \"cfl_team\": \"saskatchewan roughriders\",\n      \"college\": \"university of regina\"\n    },\n    {\n      \"cfl_team\": \"winnipeg blue bombers\",\n      \"college\": \"university of manitoba\"\n    },\n    {\n      \"cfl_team\": \"hamilton tiger-cats\",\n      \"college\": \"mcmaster university\"\n    },\n    {\n      \"cfl_team\": \"toronto argonauts\",\n      \"college\": \"university of toronto\"\n    },\n    {\n      \"cfl_team\": \"ottawa redblacks\",\n      \"college\": \"carleton university\"\n    },\n    {\n      \"cfl_team\": \"montreal alouettes\",\n      \"college\": \"mcgill university\"\n    },\n    {\n      \"cfl_team\": \"quebec city caribou\",\n      \"college\": \"laval university\"\n    }\n  ]\n}", "idx": 31485}
{"context": "CREATE TABLE table_name_59 (time_in_office VARCHAR, branch VARCHAR)", "sql_query": "select time_in_office from table_name_59 where branch = 'u.s. navy'", "question": "What time in office does the U.S. Navy have?", "data_table": "{\n  \"table_name_59\": [\n    {\n      \"time_in_office\": \"4 years\",\n      \"branch\": \"u.s. navy\"\n    },\n    {\n      \"time_in_office\": \"2 years\",\n      \"branch\": \"u.s. navy\"\n    },\n    {\n      \"time_in_office\": \"6 years\",\n      \"branch\": \"u.s. navy\"\n    },\n    {\n      \"time_in_office\": \"3 years\",\n      \"branch\": \"u.s. navy\"\n    },\n    {\n      \"time_in_office\": \"5 years\",\n      \"branch\": \"u.s. navy\"\n    },\n    {\n      \"time_in_office\": \"2 years\",\n      \"branch\": \"u.s. army\"\n    },\n    {\n      \"time_in_office\": \"1 year\",\n      \"branch\": \"u.s. army\"\n    },\n    {\n      \"time_in_office\": \"3 years\",\n      \"branch\": \"u.s. army\"\n    },\n    {\n      \"time_in_office\": \"4 years\",\n      \"branch\": \"u.s. air force\"\n    },\n    {\n      \"time_in_office\": \"2 years\",\n      \"branch\": \"u.s. air force\"\n    }\n  ]\n}", "idx": 31486}
{"context": "CREATE TABLE table_name_33 (to_par INTEGER, player VARCHAR)", "sql_query": "select max(to_par) from table_name_33 where player = 'mike weir'", "question": "What score to highest to par did Mike Weir achieve?", "data_table": "{\n  \"table_name_33\": [\n    {\n      \"to_par\": 3,\n      \"player\": \"tiger woods\"\n    },\n    {\n      \"to_par\": 0,\n      \"player\": \"phil mickelson\"\n    },\n    {\n      \"to_par\": 2,\n      \"player\": \"rory mcilroy\"\n    },\n    {\n      \"to_par\": 1,\n      \"player\": \"jordan spieth\"\n    },\n    {\n      \"to_par\": 4,\n      \"player\": \"dustin johnson\"\n    },\n    {\n      \"to_par\": 2,\n      \"player\": \"brooks koepka\"\n    },\n    {\n      \"to_par\": 1,\n      \"player\": \"justin thomas\"\n    },\n    {\n      \"to_par\": 3,\n      \"player\": \"jon rahm\"\n    },\n    {\n      \"to_par\": 0,\n      \"player\": \"bryson dechambeau\"\n    },\n    {\n      \"to_par\": 2,\n      \"player\": \"xander schauffele\"\n    }\n  ]\n}", "idx": 31487}
{"context": "CREATE TABLE table_2668367_7 (result VARCHAR, district VARCHAR)", "sql_query": "select result from table_2668367_7 where district = 'kentucky 1'", "question": "What was the result in the election in the Kentucky 1 district? ", "data_table": "{\n  \"table_2668367_7\": [\n    {\n      \"result\": \"pass\",\n      \"district\": \"kentucky 1\"\n    },\n    {\n      \"result\": \"fail\",\n      \"district\": \"kentucky 2\"\n    },\n    {\n      \"result\": \"pass\",\n      \"district\": \"kentucky 3\"\n    },\n    {\n      \"result\": \"fail\",\n      \"district\": \"kentucky 4\"\n    },\n    {\n      \"result\": \"pass\",\n      \"district\": \"kentucky 5\"\n    },\n    {\n      \"result\": \"fail\",\n      \"district\": \"kentucky 6\"\n    },\n    {\n      \"result\": \"pass\",\n      \"district\": \"kentucky 7\"\n    },\n    {\n      \"result\": \"fail\",\n      \"district\": \"kentucky 8\"\n    },\n    {\n      \"result\": \"pass\",\n      \"district\": \"kentucky 9\"\n    },\n    {\n      \"result\": \"fail\",\n      \"district\": \"kentucky 10\"\n    }\n  ]\n}", "idx": 31489}
{"context": "CREATE TABLE table_name_34 (class VARCHAR, team VARCHAR)", "sql_query": "select class from table_name_34 where team = 'kouros racing team'", "question": "Which class has a Team of kouros racing team?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"class\": \"a\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"b\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"c\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"d\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"e\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"f\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"g\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"h\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"i\",\n      \"team\": \"kouros racing team\"\n    },\n    {\n      \"class\": \"j\",\n      \"team\": \"kouros racing team\"\n    }\n  ]\n}", "idx": 31490}
{"context": "CREATE TABLE table_name_42 (nickname VARCHAR, colors VARCHAR)", "sql_query": "select nickname from table_name_42 where colors = 'blue and gold'", "question": "What is the nickname of the team that has the colors blue and gold?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"nickname\": \"john\",\n      \"colors\": \"blue and gold\"\n    },\n    {\n      \"nickname\": \"sarah\",\n      \"colors\": \"red and green\"\n    },\n    {\n      \"nickname\": \"mike\",\n      \"colors\": \"blue and silver\"\n    },\n    {\n      \"nickname\": \"emily\",\n      \"colors\": \"purple and yellow\"\n    },\n    {\n      \"nickname\": \"david\",\n      \"colors\": \"blue and gold\"\n    },\n    {\n      \"nickname\": \"emma\",\n      \"colors\": \"pink and black\"\n    },\n    {\n      \"nickname\": \"alex\",\n      \"colors\": \"blue and white\"\n    },\n    {\n      \"nickname\": \"olivia\",\n      \"colors\": \"green and gold\"\n    },\n    {\n      \"nickname\": \"daniel\",\n      \"colors\": \"blue and gold\"\n    },\n    {\n      \"nickname\": \"sophia\",\n      \"colors\": \"orange and blue\"\n    }\n  ]\n}", "idx": 31492}
{"context": "CREATE TABLE table_name_5 (attendance INTEGER, record VARCHAR)", "sql_query": "select sum(attendance) from table_name_5 where record = '0-2-2'", "question": "What was the attendance when their record stood at 0-2-2?", "data_table": "{\n  \"table_name_5\": [\n    {\n      \"attendance\": 10,\n      \"record\": \"0-2-2\"\n    },\n    {\n      \"attendance\": 5,\n      \"record\": \"1-3-4\"\n    },\n    {\n      \"attendance\": 8,\n      \"record\": \"2-4-6\"\n    },\n    {\n      \"attendance\": 3,\n      \"record\": \"0-2-2\"\n    },\n    {\n      \"attendance\": 6,\n      \"record\": \"1-3-4\"\n    },\n    {\n      \"attendance\": 9,\n      \"record\": \"2-4-6\"\n    },\n    {\n      \"attendance\": 7,\n      \"record\": \"0-2-2\"\n    },\n    {\n      \"attendance\": 4,\n      \"record\": \"1-3-4\"\n    },\n    {\n      \"attendance\": 2,\n      \"record\": \"2-4-6\"\n    },\n    {\n      \"attendance\": 1,\n      \"record\": \"0-2-2\"\n    }\n  ]\n}", "idx": 31493}
{"context": "CREATE TABLE table_23477312_1 (service INTEGER, train_name VARCHAR)", "sql_query": "select max(service) from table_23477312_1 where train_name = 'jammu duronto'", "question": "What's the service number of the Jammu Duronto train? ", "data_table": "{\n  \"table_23477312_1\": [\n    {\n      \"service\": 123,\n      \"train_name\": \"jammu duronto\"\n    },\n    {\n      \"service\": 456,\n      \"train_name\": \"mumbai rajdhani\"\n    },\n    {\n      \"service\": 789,\n      \"train_name\": \"delhi shatabdi\"\n    },\n    {\n      \"service\": 234,\n      \"train_name\": \"chennai express\"\n    },\n    {\n      \"service\": 567,\n      \"train_name\": \"kolkata mail\"\n    },\n    {\n      \"service\": 890,\n      \"train_name\": \"bangalore rajdhani\"\n    },\n    {\n      \"service\": 345,\n      \"train_name\": \"hyderabad express\"\n    },\n    {\n      \"service\": 678,\n      \"train_name\": \"ahmedabad shatabdi\"\n    },\n    {\n      \"service\": 901,\n      \"train_name\": \"pune duronto\"\n    },\n    {\n      \"service\": 432,\n      \"train_name\": \"jaipur mail\"\n    }\n  ]\n}", "idx": 31494}
{"context": "CREATE TABLE table_name_24 (player VARCHAR, country VARCHAR)", "sql_query": "select player from table_name_24 where country = 'scotland'", "question": "Which player is from scotland?", "data_table": "{\n  \"table_name_24\": [\n    {\n      \"player\": \"john\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"david\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"michael\",\n      \"country\": \"england\"\n    },\n    {\n      \"player\": \"robert\",\n      \"country\": \"wales\"\n    },\n    {\n      \"player\": \"andrew\",\n      \"country\": \"ireland\"\n    },\n    {\n      \"player\": \"thomas\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"william\",\n      \"country\": \"england\"\n    },\n    {\n      \"player\": \"james\",\n      \"country\": \"scotland\"\n    },\n    {\n      \"player\": \"daniel\",\n      \"country\": \"wales\"\n    },\n    {\n      \"player\": \"matthew\",\n      \"country\": \"ireland\"\n    }\n  ]\n}", "idx": 31495}
{"context": "CREATE TABLE table_name_94 (rank INTEGER, time VARCHAR)", "sql_query": "select sum(rank) from table_name_94 where time = '1:12.40.28'", "question": "What is the rank for the team with a Time of 1:12.40.28?", "data_table": "{\n  \"table_name_94\": [\n    {\n      \"rank\": 1,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 2,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 3,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 4,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 5,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 6,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 7,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 8,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 9,\n      \"time\": \"1:12.40.28\"\n    },\n    {\n      \"rank\": 10,\n      \"time\": \"1:12.40.28\"\n    }\n  ]\n}", "idx": 31496}
{"context": "CREATE TABLE table_23465864_6 (wed_26_aug VARCHAR, rider VARCHAR)", "sql_query": "select wed_26_aug from table_23465864_6 where rider = 'andrew farrell 400cc kawasaki'", "question": "What was the event on Wed 26 Aug where rider is Andrew Farrell 400cc Kawasaki?", "data_table": "{\n  \"table_23465864_6\": [\n    {\n      \"wed_26_aug\": \"value1\",\n      \"rider\": \"andrew farrell 400cc kawasaki\"\n    },\n    {\n      \"wed_26_aug\": \"value2\",\n      \"rider\": \"john smith 250cc honda\"\n    },\n    {\n      \"wed_26_aug\": \"value3\",\n      \"rider\": \"michael jones 600cc yamaha\"\n    },\n    {\n      \"wed_26_aug\": \"value4\",\n      \"rider\": \"sarah wilson 750cc suzuki\"\n    },\n    {\n      \"wed_26_aug\": \"value5\",\n      \"rider\": \"emily brown 450cc ktm\"\n    },\n    {\n      \"wed_26_aug\": \"value6\",\n      \"rider\": \"david thompson 300cc kawasaki\"\n    },\n    {\n      \"wed_26_aug\": \"value7\",\n      \"rider\": \"james miller 500cc honda\"\n    },\n    {\n      \"wed_26_aug\": \"value8\",\n      \"rider\": \"lisa anderson 650cc yamaha\"\n    },\n    {\n      \"wed_26_aug\": \"value9\",\n      \"rider\": \"robert wilson 700cc suzuki\"\n    },\n    {\n      \"wed_26_aug\": \"value10\",\n      \"rider\": \"jessica taylor 350cc ktm\"\n    }\n  ]\n}", "idx": 31497}
{"context": "CREATE TABLE table_name_81 (away_captain VARCHAR, venue VARCHAR)", "sql_query": "select away_captain from table_name_81 where venue = 'trent bridge'", "question": "Who was the away captain for matches played at Trent Bridge?", "data_table": "{\n  \"table_name_81\": [\n    {\n      \"away_captain\": \"john smith\",\n      \"venue\": \"trent bridge\"\n    },\n    {\n      \"away_captain\": \"michael johnson\",\n      \"venue\": \"old trafford\"\n    },\n    {\n      \"away_captain\": \"david wilson\",\n      \"venue\": \"trent bridge\"\n    },\n    {\n      \"away_captain\": \"robert thompson\",\n      \"venue\": \"lords\"\n    },\n    {\n      \"away_captain\": \"daniel brown\",\n      \"venue\": \"trent bridge\"\n    },\n    {\n      \"away_captain\": \"christopher davis\",\n      \"venue\": \"the oval\"\n    },\n    {\n      \"away_captain\": \"matthew taylor\",\n      \"venue\": \"trent bridge\"\n    },\n    {\n      \"away_captain\": \"andrew anderson\",\n      \"venue\": \"edgbaston\"\n    },\n    {\n      \"away_captain\": \"james wilson\",\n      \"venue\": \"trent bridge\"\n    },\n    {\n      \"away_captain\": \"richard harris\",\n      \"venue\": \"headingley\"\n    }\n  ]\n}", "idx": 31498}
{"context": "CREATE TABLE table_name_23 (pos INTEGER, driver VARCHAR)", "sql_query": "select sum(pos) from table_name_23 where driver = 'brian scott (r)'", "question": "Which Pos has a Driver of brian scott (r)?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"pos\": 1,\n      \"driver\": \"brian scott (r)\"\n    },\n    {\n      \"pos\": 2,\n      \"driver\": \"david ragan\"\n    },\n    {\n      \"pos\": 3,\n      \"driver\": \"brian scott (r)\"\n    },\n    {\n      \"pos\": 4,\n      \"driver\": \"matt kenseth\"\n    },\n    {\n      \"pos\": 5,\n      \"driver\": \"brian scott (r)\"\n    },\n    {\n      \"pos\": 6,\n      \"driver\": \"david ragan\"\n    },\n    {\n      \"pos\": 7,\n      \"driver\": \"matt kenseth\"\n    },\n    {\n      \"pos\": 8,\n      \"driver\": \"brian scott (r)\"\n    },\n    {\n      \"pos\": 9,\n      \"driver\": \"david ragan\"\n    },\n    {\n      \"pos\": 10,\n      \"driver\": \"matt kenseth\"\n    }\n  ]\n}", "idx": 31499}
{"context": "CREATE TABLE table_22815568_13 (unemployment_rate VARCHAR, county VARCHAR)", "sql_query": "select unemployment_rate from table_22815568_13 where county = 'wayne'", "question": "what is the unemployment rate for wayne county?", "data_table": "{\n  \"table_22815568_13\": [\n    {\n      \"unemployment_rate\": \"4.5\",\n      \"county\": \"wayne\"\n    },\n    {\n      \"unemployment_rate\": \"3.2\",\n      \"county\": \"oakland\"\n    },\n    {\n      \"unemployment_rate\": \"6.1\",\n      \"county\": \"macomb\"\n    },\n    {\n      \"unemployment_rate\": \"5.8\",\n      \"county\": \"washtenaw\"\n    },\n    {\n      \"unemployment_rate\": \"4.9\",\n      \"county\": \"genesee\"\n    },\n    {\n      \"unemployment_rate\": \"3.7\",\n      \"county\": \"kent\"\n    },\n    {\n      \"unemployment_rate\": \"5.2\",\n      \"county\": \"ingham\"\n    },\n    {\n      \"unemployment_rate\": \"4.3\",\n      \"county\": \"ottawa\"\n    },\n    {\n      \"unemployment_rate\": \"6.4\",\n      \"county\": \"saginaw\"\n    },\n    {\n      \"unemployment_rate\": \"3.9\",\n      \"county\": \"kalamazoo\"\n    }\n  ]\n}", "idx": 31500}
{"context": "CREATE TABLE table_name_40 (week INTEGER, date VARCHAR)", "sql_query": "select max(week) from table_name_40 where date = 'november 5, 1995'", "question": "What is the latest week with the date of november 5, 1995?", "data_table": "{\n  \"table_name_40\": [\n    {\n      \"week\": 1,\n      \"date\": \"november 1, 1995\"\n    },\n    {\n      \"week\": 2,\n      \"date\": \"november 2, 1995\"\n    },\n    {\n      \"week\": 3,\n      \"date\": \"november 3, 1995\"\n    },\n    {\n      \"week\": 4,\n      \"date\": \"november 4, 1995\"\n    },\n    {\n      \"week\": 5,\n      \"date\": \"november 5, 1995\"\n    },\n    {\n      \"week\": 6,\n      \"date\": \"november 6, 1995\"\n    },\n    {\n      \"week\": 7,\n      \"date\": \"november 7, 1995\"\n    },\n    {\n      \"week\": 8,\n      \"date\": \"november 8, 1995\"\n    },\n    {\n      \"week\": 9,\n      \"date\": \"november 9, 1995\"\n    },\n    {\n      \"week\": 10,\n      \"date\": \"november 10, 1995\"\n    }\n  ]\n}", "idx": 31501}
{"context": "CREATE TABLE table_name_8 (name VARCHAR, total VARCHAR)", "sql_query": "select name from table_name_8 where total = '8 (24)'", "question": "Which player has a total of 8 (24)?", "data_table": "{\n  \"table_name_8\": [\n    {\n      \"name\": \"john\",\n      \"total\": \"8 (24)\"\n    },\n    {\n      \"name\": \"emily\",\n      \"total\": \"8 (24)\"\n    },\n    {\n      \"name\": \"michael\",\n      \"total\": \"8 (16)\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"total\": \"8 (16)\"\n    },\n    {\n      \"name\": \"william\",\n      \"total\": \"8 (32)\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"total\": \"8 (32)\"\n    },\n    {\n      \"name\": \"james\",\n      \"total\": \"8 (40)\"\n    },\n    {\n      \"name\": \"ava\",\n      \"total\": \"8 (40)\"\n    },\n    {\n      \"name\": \"benjamin\",\n      \"total\": \"8 (48)\"\n    },\n    {\n      \"name\": \"emma\",\n      \"total\": \"8 (48)\"\n    }\n  ]\n}", "idx": 31502}
{"context": "CREATE TABLE table_name_53 (runs VARCHAR, opponent VARCHAR)", "sql_query": "select runs from table_name_53 where opponent = 'south australia'", "question": "Which Runs has a Opponent of south australia?", "data_table": "{\n  \"table_name_53\": [\n    {\n      \"runs\": \"100\",\n      \"opponent\": \"south australia\"\n    },\n    {\n      \"runs\": \"75\",\n      \"opponent\": \"queensland\"\n    },\n    {\n      \"runs\": \"50\",\n      \"opponent\": \"new south wales\"\n    },\n    {\n      \"runs\": \"120\",\n      \"opponent\": \"western australia\"\n    },\n    {\n      \"runs\": \"80\",\n      \"opponent\": \"victoria\"\n    },\n    {\n      \"runs\": \"60\",\n      \"opponent\": \"tasmania\"\n    },\n    {\n      \"runs\": \"90\",\n      \"opponent\": \"south australia\"\n    },\n    {\n      \"runs\": \"110\",\n      \"opponent\": \"queensland\"\n    },\n    {\n      \"runs\": \"70\",\n      \"opponent\": \"new south wales\"\n    },\n    {\n      \"runs\": \"130\",\n      \"opponent\": \"western australia\"\n    }\n  ]\n}", "idx": 31503}
{"context": "CREATE TABLE playlists (id VARCHAR, name VARCHAR); CREATE TABLE playlist_tracks (track_id VARCHAR, playlist_id VARCHAR); CREATE TABLE tracks (name VARCHAR, id VARCHAR)", "sql_query": "select t1.name from tracks as t1 join playlist_tracks as t2 on t1.id = t2.track_id join playlists as t3 on t3.id = t2.playlist_id where t3.name = 'movies'", "question": "List the name of all tracks in the playlists of Movies.", "data_table": "{\n  \"playlists\": [\n    {\n      \"id\": \"1\",\n      \"name\": \"movies\"\n    },\n    {\n      \"id\": \"2\",\n      \"name\": \"music\"\n    },\n    {\n      \"id\": \"3\",\n      \"name\": \"sports\"\n    },\n    {\n      \"id\": \"4\",\n      \"name\": \"travel\"\n    },\n    {\n      \"id\": \"5\",\n      \"name\": \"fitness\"\n    }\n  ],\n  \"playlist_tracks\": [\n    {\n      \"track_id\": \"1\",\n      \"playlist_id\": \"1\"\n    },\n    {\n      \"track_id\": \"2\",\n      \"playlist_id\": \"1\"\n    },\n    {\n      \"track_id\": \"3\",\n      \"playlist_id\": \"2\"\n    },\n    {\n      \"track_id\": \"4\",\n      \"playlist_id\": \"2\"\n    },\n    {\n      \"track_id\": \"5\",\n      \"playlist_id\": \"3\"\n    },\n    {\n      \"track_id\": \"6\",\n      \"playlist_id\": \"3\"\n    },\n    {\n      \"track_id\": \"7\",\n      \"playlist_id\": \"4\"\n    },\n    {\n      \"track_id\": \"8\",\n      \"playlist_id\": \"4\"\n    },\n    {\n      \"track_id\": \"9\",\n      \"playlist_id\": \"5\"\n    },\n    {\n      \"track_id\": \"10\",\n      \"playlist_id\": \"5\"\n    }\n  ],\n  \"tracks\": [\n    {\n      \"name\": \"song1\",\n      \"id\": \"1\"\n    },\n    {\n      \"name\": \"song2\",\n      \"id\": \"2\"\n    },\n    {\n      \"name\": \"song3\",\n      \"id\": \"3\"\n    },\n    {\n      \"name\": \"song4\",\n      \"id\": \"4\"\n    },\n    {\n      \"name\": \"song5\",\n      \"id\": \"5\"\n    },\n    {\n      \"name\": \"song6\",\n      \"id\": \"6\"\n    },\n    {\n      \"name\": \"song7\",\n      \"id\": \"7\"\n    },\n    {\n      \"name\": \"song8\",\n      \"id\": \"8\"\n    },\n    {\n      \"name\": \"song9\",\n      \"id\": \"9\"\n    },\n    {\n      \"name\": \"song10\",\n      \"id\": \"10\"\n    }\n  ]\n}", "idx": 31504}
{"context": "CREATE TABLE table_27268238_5 (wickets INTEGER)", "sql_query": "select min(wickets) from table_27268238_5", "question": "What is the lowest wickets?", "data_table": "{\n  \"table_27268238_5\": [\n    {\n      \"wickets\": 3\n    },\n    {\n      \"wickets\": 5\n    },\n    {\n      \"wickets\": 2\n    },\n    {\n      \"wickets\": 4\n    },\n    {\n      \"wickets\": 1\n    },\n    {\n      \"wickets\": 6\n    },\n    {\n      \"wickets\": 8\n    },\n    {\n      \"wickets\": 7\n    },\n    {\n      \"wickets\": 9\n    },\n    {\n      \"wickets\": 10\n    }\n  ]\n}", "idx": 31508}
{"context": "CREATE TABLE table_1558077_8 (number_of_s_eva INTEGER)", "sql_query": "select max(number_of_s_eva) from table_1558077_8", "question": "Name the most number of s eva", "data_table": "{\n  \"table_1558077_8\": [\n    {\n      \"number_of_s_eva\": 10\n    },\n    {\n      \"number_of_s_eva\": 15\n    },\n    {\n      \"number_of_s_eva\": 20\n    },\n    {\n      \"number_of_s_eva\": 25\n    },\n    {\n      \"number_of_s_eva\": 30\n    },\n    {\n      \"number_of_s_eva\": 35\n    },\n    {\n      \"number_of_s_eva\": 40\n    },\n    {\n      \"number_of_s_eva\": 45\n    },\n    {\n      \"number_of_s_eva\": 50\n    },\n    {\n      \"number_of_s_eva\": 55\n    }\n  ]\n}", "idx": 31509}
{"context": "CREATE TABLE table_name_8 (team VARCHAR, make VARCHAR, driver VARCHAR)", "sql_query": "select team from table_name_8 where make = 'buick regal' and driver = 'bobby hillin jr. (r)'", "question": "What team does bobby hillin jr. (r) drive a buick regal for?", "data_table": "{\n  \"table_name_8\": [\n    {\n      \"team\": \"team a\",\n      \"make\": \"buick regal\",\n      \"driver\": \"bobby hillin jr. (r)\"\n    },\n    {\n      \"team\": \"team b\",\n      \"make\": \"chevrolet camaro\",\n      \"driver\": \"john doe\"\n    },\n    {\n      \"team\": \"team c\",\n      \"make\": \"ford mustang\",\n      \"driver\": \"jane smith\"\n    },\n    {\n      \"team\": \"team d\",\n      \"make\": \"buick regal\",\n      \"driver\": \"mike johnson\"\n    },\n    {\n      \"team\": \"team e\",\n      \"make\": \"dodge charger\",\n      \"driver\": \"sarah thompson\"\n    },\n    {\n      \"team\": \"team f\",\n      \"make\": \"buick regal\",\n      \"driver\": \"tom wilson\"\n    },\n    {\n      \"team\": \"team g\",\n      \"make\": \"chevrolet camaro\",\n      \"driver\": \"emily brown\"\n    },\n    {\n      \"team\": \"team h\",\n      \"make\": \"ford mustang\",\n      \"driver\": \"michael davis\"\n    },\n    {\n      \"team\": \"team i\",\n      \"make\": \"buick regal\",\n      \"driver\": \"jessica lee\"\n    },\n    {\n      \"team\": \"team j\",\n      \"make\": \"dodge charger\",\n      \"driver\": \"david johnson\"\n    }\n  ]\n}", "idx": 31510}
{"context": "CREATE TABLE table_name_24 (record VARCHAR, method VARCHAR)", "sql_query": "select record from table_name_24 where method = 'ko (head kick)'", "question": "What is the record for the Ko (head kick) method?", "data_table": "{\n  \"table_name_24\": [\n    {\n      \"record\": \"john doe\",\n      \"method\": \"punch\"\n    },\n    {\n      \"record\": \"jane smith\",\n      \"method\": \"kick\"\n    },\n    {\n      \"record\": \"michael johnson\",\n      \"method\": \"elbow strike\"\n    },\n    {\n      \"record\": \"emily davis\",\n      \"method\": \"knee strike\"\n    },\n    {\n      \"record\": \"robert wilson\",\n      \"method\": \"chokehold\"\n    },\n    {\n      \"record\": \"sarah thompson\",\n      \"method\": \"submission\"\n    },\n    {\n      \"record\": \"david brown\",\n      \"method\": \"takedown\"\n    },\n    {\n      \"record\": \"olivia taylor\",\n      \"method\": \"armbar\"\n    },\n    {\n      \"record\": \"daniel anderson\",\n      \"method\": \"triangle choke\"\n    },\n    {\n      \"record\": \"sophia martinez\",\n      \"method\": \"ko (head kick)\"\n    }\n  ]\n}", "idx": 31512}
{"context": "CREATE TABLE table_1427998_1 (regular_season VARCHAR, playoffs VARCHAR)", "sql_query": "select regular_season from table_1427998_1 where playoffs = 'divisional finals'", "question": "Where did the team finish in the season when the playoff result was divisional finals.", "data_table": "{\n  \"table_1427998_1\": [\n    {\n      \"regular_season\": \"team a\",\n      \"playoffs\": \"divisional finals\"\n    },\n    {\n      \"regular_season\": \"team b\",\n      \"playoffs\": \"divisional finals\"\n    },\n    {\n      \"regular_season\": \"team c\",\n      \"playoffs\": \"conference finals\"\n    },\n    {\n      \"regular_season\": \"team d\",\n      \"playoffs\": \"divisional finals\"\n    },\n    {\n      \"regular_season\": \"team e\",\n      \"playoffs\": \"wild card\"\n    },\n    {\n      \"regular_season\": \"team f\",\n      \"playoffs\": \"divisional finals\"\n    },\n    {\n      \"regular_season\": \"team g\",\n      \"playoffs\": \"wild card\"\n    },\n    {\n      \"regular_season\": \"team h\",\n      \"playoffs\": \"conference finals\"\n    },\n    {\n      \"regular_season\": \"team i\",\n      \"playoffs\": \"wild card\"\n    },\n    {\n      \"regular_season\": \"team j\",\n      \"playoffs\": \"divisional finals\"\n    }\n  ]\n}", "idx": 31513}
{"context": "CREATE TABLE table_1004033_1 (position VARCHAR, draft_pick__number VARCHAR)", "sql_query": "select position from table_1004033_1 where draft_pick__number = '10'", "question": "What position did the #10 draft pick play?", "data_table": "{\n  \"table_1004033_1\": [\n    {\n      \"position\": \"qb\",\n      \"draft_pick__number\": \"1\"\n    },\n    {\n      \"position\": \"rb\",\n      \"draft_pick__number\": \"2\"\n    },\n    {\n      \"position\": \"wr\",\n      \"draft_pick__number\": \"3\"\n    },\n    {\n      \"position\": \"te\",\n      \"draft_pick__number\": \"4\"\n    },\n    {\n      \"position\": \"qb\",\n      \"draft_pick__number\": \"5\"\n    },\n    {\n      \"position\": \"rb\",\n      \"draft_pick__number\": \"6\"\n    },\n    {\n      \"position\": \"wr\",\n      \"draft_pick__number\": \"7\"\n    },\n    {\n      \"position\": \"te\",\n      \"draft_pick__number\": \"8\"\n    },\n    {\n      \"position\": \"qb\",\n      \"draft_pick__number\": \"9\"\n    },\n    {\n      \"position\": \"rb\",\n      \"draft_pick__number\": \"10\"\n    }\n  ]\n}", "idx": 31514}
{"context": "CREATE TABLE table_name_16 (tenure VARCHAR, date_of_death VARCHAR)", "sql_query": "select tenure from table_name_16 where date_of_death = '2001-08-31'", "question": "What is the Tenure of the Officer with a Date of death of 2001-08-31?", "data_table": "{\n  \"table_name_16\": [\n    {\n      \"tenure\": \"5 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"2 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"10 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"3 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"1 year\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"7 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"4 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"6 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"8 years\",\n      \"date_of_death\": \"2001-08-31\"\n    },\n    {\n      \"tenure\": \"9 years\",\n      \"date_of_death\": \"2001-08-31\"\n    }\n  ]\n}", "idx": 31515}
{"context": "CREATE TABLE table_name_48 (date VARCHAR, visitor VARCHAR)", "sql_query": "select date from table_name_48 where visitor = 'bulls'", "question": "What's the date of the game that has the Bulls as a visiting team?", "data_table": "{\n  \"table_name_48\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"visitor\": \"bulls\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"visitor\": \"lakers\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"visitor\": \"bulls\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"visitor\": \"celtics\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"visitor\": \"bulls\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"visitor\": \"warriors\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"visitor\": \"bulls\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"visitor\": \"rockets\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"visitor\": \"bulls\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"visitor\": \"clippers\"\n    }\n  ]\n}", "idx": 31516}
{"context": "CREATE TABLE table_name_99 (field VARCHAR, home_away VARCHAR, opponent VARCHAR)", "sql_query": "select field from table_name_99 where home_away = 'away' and opponent = 'bayhawks'", "question": "What Field was played at in an away game against the bayhawks?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"field\": \"john\",\n      \"home_away\": \"home\",\n      \"opponent\": \"lions\"\n    },\n    {\n      \"field\": \"sarah\",\n      \"home_away\": \"away\",\n      \"opponent\": \"bayhawks\"\n    },\n    {\n      \"field\": \"michael\",\n      \"home_away\": \"home\",\n      \"opponent\": \"tigers\"\n    },\n    {\n      \"field\": \"emily\",\n      \"home_away\": \"away\",\n      \"opponent\": \"lions\"\n    },\n    {\n      \"field\": \"david\",\n      \"home_away\": \"home\",\n      \"opponent\": \"bayhawks\"\n    },\n    {\n      \"field\": \"jessica\",\n      \"home_away\": \"away\",\n      \"opponent\": \"tigers\"\n    },\n    {\n      \"field\": \"daniel\",\n      \"home_away\": \"home\",\n      \"opponent\": \"lions\"\n    },\n    {\n      \"field\": \"olivia\",\n      \"home_away\": \"away\",\n      \"opponent\": \"bayhawks\"\n    },\n    {\n      \"field\": \"matthew\",\n      \"home_away\": \"home\",\n      \"opponent\": \"tigers\"\n    },\n    {\n      \"field\": \"sophia\",\n      \"home_away\": \"away\",\n      \"opponent\": \"lions\"\n    }\n  ]\n}", "idx": 31517}
{"context": "CREATE TABLE table_1341843_10 (candidates VARCHAR, incumbent VARCHAR)", "sql_query": "select candidates from table_1341843_10 where incumbent = 'charles edward bennett redistricted from 2nd'", "question": "Who was featured in the election of charles edward bennett redistricted from 2nd?", "data_table": "{\n  \"table_1341843_10\": [\n    {\n      \"candidates\": \"john smith\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"jane doe\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"michael johnson\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"emily davis\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"robert wilson\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"sarah thompson\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"daniel anderson\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"olivia martinez\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"william taylor\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    },\n    {\n      \"candidates\": \"sophia brown\",\n      \"incumbent\": \"charles edward bennett redistricted from 2nd\"\n    }\n  ]\n}", "idx": 31518}
{"context": "CREATE TABLE table_name_33 (position VARCHAR, school VARCHAR)", "sql_query": "select position from table_name_33 where school = 'east texas state'", "question": "What position did the player from East Texas State play?", "data_table": "{\n  \"table_name_33\": [\n    {\n      \"position\": \"forward\",\n      \"school\": \"east texas state\"\n    },\n    {\n      \"position\": \"guard\",\n      \"school\": \"west texas state\"\n    },\n    {\n      \"position\": \"center\",\n      \"school\": \"north texas state\"\n    },\n    {\n      \"position\": \"forward\",\n      \"school\": \"south texas state\"\n    },\n    {\n      \"position\": \"guard\",\n      \"school\": \"central texas state\"\n    },\n    {\n      \"position\": \"center\",\n      \"school\": \"east texas state\"\n    },\n    {\n      \"position\": \"forward\",\n      \"school\": \"west texas state\"\n    },\n    {\n      \"position\": \"guard\",\n      \"school\": \"north texas state\"\n    },\n    {\n      \"position\": \"center\",\n      \"school\": \"south texas state\"\n    },\n    {\n      \"position\": \"forward\",\n      \"school\": \"central texas state\"\n    }\n  ]\n}", "idx": 31519}
{"context": "CREATE TABLE table_name_9 (location VARCHAR, date VARCHAR, circumstances VARCHAR)", "sql_query": "select location from table_name_9 where date = '2006-04-07' and circumstances = 'direct fire'", "question": "Name the location on 2006-04-07 for direct fire", "data_table": "{\n  \"table_name_9\": [\n    {\n      \"location\": \"new york\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"direct fire\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"direct fire\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"indirect fire\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"indirect fire\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"direct fire\"\n    },\n    {\n      \"location\": \"miami\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"indirect fire\"\n    },\n    {\n      \"location\": \"boston\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"direct fire\"\n    },\n    {\n      \"location\": \"houston\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"indirect fire\"\n    },\n    {\n      \"location\": \"denver\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"direct fire\"\n    },\n    {\n      \"location\": \"phoenix\",\n      \"date\": \"2006-04-07\",\n      \"circumstances\": \"indirect fire\"\n    }\n  ]\n}", "idx": 31520}
{"context": "CREATE TABLE table_27734577_8 (team VARCHAR, score VARCHAR)", "sql_query": "select team from table_27734577_8 where score = 'w 110\u201387 (ot)'", "question": "What team has a score of  w 110\u201387 (ot)?", "data_table": "{\n  \"table_27734577_8\": [\n    {\n      \"team\": \"team a\",\n      \"score\": \"w 110\u201387 (ot)\"\n    },\n    {\n      \"team\": \"team b\",\n      \"score\": \"l 92\u201398\"\n    },\n    {\n      \"team\": \"team c\",\n      \"score\": \"w 105\u2013100\"\n    },\n    {\n      \"team\": \"team d\",\n      \"score\": \"l 88\u201393\"\n    },\n    {\n      \"team\": \"team e\",\n      \"score\": \"w 99\u201395\"\n    },\n    {\n      \"team\": \"team f\",\n      \"score\": \"l 82\u201389\"\n    },\n    {\n      \"team\": \"team g\",\n      \"score\": \"w 115\u2013108\"\n    },\n    {\n      \"team\": \"team h\",\n      \"score\": \"l 97\u2013102\"\n    },\n    {\n      \"team\": \"team i\",\n      \"score\": \"w 103\u201398\"\n    },\n    {\n      \"team\": \"team j\",\n      \"score\": \"l 91\u201396\"\n    }\n  ]\n}", "idx": 31521}
{"context": "CREATE TABLE table_name_73 (record__conf_ VARCHAR, conference VARCHAR)", "sql_query": "select record__conf_ from table_name_73 where conference = 'wac'", "question": "What is the recorded conference that was a Wac Conference?", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"record__conf_\": \"abc\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"def\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"ghi\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"jkl\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"mno\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"pqr\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"stu\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"vwx\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"yz\",\n      \"conference\": \"wac\"\n    },\n    {\n      \"record__conf_\": \"123\",\n      \"conference\": \"wac\"\n    }\n  ]\n}", "idx": 31522}
{"context": "CREATE TABLE VOTING_RECORD (Registration_Date VARCHAR, Election_Cycle VARCHAR)", "sql_query": "select distinct registration_date, election_cycle from voting_record", "question": "Report the distinct registration date and the election cycle.", "data_table": "{\n  \"voting_record\": [\n    {\n      \"registration_date\": \"2020-01-01\",\n      \"election_cycle\": \"2020\"\n    },\n    {\n      \"registration_date\": \"2019-05-10\",\n      \"election_cycle\": \"2018\"\n    },\n    {\n      \"registration_date\": \"2018-08-15\",\n      \"election_cycle\": \"2016\"\n    },\n    {\n      \"registration_date\": \"2017-03-20\",\n      \"election_cycle\": \"2016\"\n    },\n    {\n      \"registration_date\": \"2016-11-11\",\n      \"election_cycle\": \"2014\"\n    },\n    {\n      \"registration_date\": \"2015-09-05\",\n      \"election_cycle\": \"2014\"\n    },\n    {\n      \"registration_date\": \"2014-06-30\",\n      \"election_cycle\": \"2012\"\n    },\n    {\n      \"registration_date\": \"2013-02-25\",\n      \"election_cycle\": \"2012\"\n    },\n    {\n      \"registration_date\": \"2012-12-12\",\n      \"election_cycle\": \"2010\"\n    },\n    {\n      \"registration_date\": \"2011-07-18\",\n      \"election_cycle\": \"2010\"\n    }\n  ]\n}", "idx": 31523}
{"context": "CREATE TABLE table_name_65 (date VARCHAR, save VARCHAR)", "sql_query": "select date from table_name_65 where save = 'aguilera (5)'", "question": "What was the date when the game had a save by Aguilera (5)?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"save\": \"aguilera (5)\"\n    },\n    {\n      \"date\": \"2022-02-15\",\n      \"save\": \"smith (2)\"\n    },\n    {\n      \"date\": \"2022-03-10\",\n      \"save\": \"aguilera (3)\"\n    },\n    {\n      \"date\": \"2022-04-20\",\n      \"save\": \"johnson (7)\"\n    },\n    {\n      \"date\": \"2022-05-05\",\n      \"save\": \"aguilera (1)\"\n    },\n    {\n      \"date\": \"2022-06-30\",\n      \"save\": \"smith (4)\"\n    },\n    {\n      \"date\": \"2022-07-15\",\n      \"save\": \"aguilera (2)\"\n    },\n    {\n      \"date\": \"2022-08-25\",\n      \"save\": \"johnson (6)\"\n    },\n    {\n      \"date\": \"2022-09-10\",\n      \"save\": \"smith (3)\"\n    },\n    {\n      \"date\": \"2022-10-20\",\n      \"save\": \"aguilera (4)\"\n    }\n  ]\n}", "idx": 31524}
{"context": "CREATE TABLE table_name_80 (rank INTEGER, singapore_cup VARCHAR, name VARCHAR)", "sql_query": "select sum(rank) from table_name_80 where singapore_cup = '0 (1)' and name = 'masrezwan masturi'", "question": "What is the sum of Rank that when the Singapore Cup is 0 (1), and the Name is masrezwan masturi?", "data_table": "{\n  \"table_name_80\": [\n    {\n      \"rank\": 1,\n      \"singapore_cup\": \"0 (1)\",\n      \"name\": \"masrezwan masturi\"\n    },\n    {\n      \"rank\": 2,\n      \"singapore_cup\": \"1 (2)\",\n      \"name\": \"john doe\"\n    },\n    {\n      \"rank\": 3,\n      \"singapore_cup\": \"2 (3)\",\n      \"name\": \"jane smith\"\n    },\n    {\n      \"rank\": 4,\n      \"singapore_cup\": \"3 (4)\",\n      \"name\": \"alexander brown\"\n    },\n    {\n      \"rank\": 5,\n      \"singapore_cup\": \"4 (5)\",\n      \"name\": \"emily wilson\"\n    },\n    {\n      \"rank\": 6,\n      \"singapore_cup\": \"5 (6)\",\n      \"name\": \"michael jones\"\n    },\n    {\n      \"rank\": 7,\n      \"singapore_cup\": \"6 (7)\",\n      \"name\": \"sarah thompson\"\n    },\n    {\n      \"rank\": 8,\n      \"singapore_cup\": \"7 (8)\",\n      \"name\": \"david anderson\"\n    },\n    {\n      \"rank\": 9,\n      \"singapore_cup\": \"8 (9)\",\n      \"name\": \"olivia martin\"\n    },\n    {\n      \"rank\": 10,\n      \"singapore_cup\": \"9 (10)\",\n      \"name\": \"william wilson\"\n    }\n  ]\n}", "idx": 31525}
{"context": "CREATE TABLE table_name_59 (attendance INTEGER, result VARCHAR)", "sql_query": "select min(attendance) from table_name_59 where result = '2-0'", "question": "What is the lowest attendance of a game that has the result of 2-0?", "data_table": "{\n  \"table_name_59\": [\n    {\n      \"attendance\": 100,\n      \"result\": \"2-0\"\n    },\n    {\n      \"attendance\": 150,\n      \"result\": \"1-0\"\n    },\n    {\n      \"attendance\": 200,\n      \"result\": \"2-1\"\n    },\n    {\n      \"attendance\": 120,\n      \"result\": \"0-0\"\n    },\n    {\n      \"attendance\": 180,\n      \"result\": \"3-1\"\n    },\n    {\n      \"attendance\": 90,\n      \"result\": \"2-0\"\n    },\n    {\n      \"attendance\": 160,\n      \"result\": \"1-1\"\n    },\n    {\n      \"attendance\": 220,\n      \"result\": \"2-0\"\n    },\n    {\n      \"attendance\": 130,\n      \"result\": \"0-1\"\n    },\n    {\n      \"attendance\": 240,\n      \"result\": \"1-0\"\n    }\n  ]\n}", "idx": 31526}
{"context": "CREATE TABLE table_name_34 (transfer_fee VARCHAR, moving_from VARCHAR)", "sql_query": "select transfer_fee from table_name_34 where moving_from = 'port vale'", "question": "What is the transfer fee of the move from Port Vale?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"transfer_fee\": \"100000\",\n      \"moving_from\": \"port vale\"\n    },\n    {\n      \"transfer_fee\": \"50000\",\n      \"moving_from\": \"manchester united\"\n    },\n    {\n      \"transfer_fee\": \"75000\",\n      \"moving_from\": \"liverpool\"\n    },\n    {\n      \"transfer_fee\": \"200000\",\n      \"moving_from\": \"chelsea\"\n    },\n    {\n      \"transfer_fee\": \"150000\",\n      \"moving_from\": \"arsenal\"\n    },\n    {\n      \"transfer_fee\": \"300000\",\n      \"moving_from\": \"real madrid\"\n    },\n    {\n      \"transfer_fee\": \"250000\",\n      \"moving_from\": \"barcelona\"\n    },\n    {\n      \"transfer_fee\": \"400000\",\n      \"moving_from\": \"bayern munich\"\n    },\n    {\n      \"transfer_fee\": \"175000\",\n      \"moving_from\": \"juventus\"\n    },\n    {\n      \"transfer_fee\": \"60000\",\n      \"moving_from\": \"ac milan\"\n    }\n  ]\n}", "idx": 31527}
{"context": "CREATE TABLE table_24814477_2 (week VARCHAR, opponent VARCHAR)", "sql_query": "select week from table_24814477_2 where opponent = 'amsterdam admirals'", "question": "What week did the Galaxy play the Amsterdam Admirals?", "data_table": "{\n  \"table_24814477_2\": [\n    {\n      \"week\": \"week 1\",\n      \"opponent\": \"amsterdam admirals\"\n    },\n    {\n      \"week\": \"week 2\",\n      \"opponent\": \"berlin thunder\"\n    },\n    {\n      \"week\": \"week 3\",\n      \"opponent\": \"cologne centurions\"\n    },\n    {\n      \"week\": \"week 4\",\n      \"opponent\": \"frankfurt galaxy\"\n    },\n    {\n      \"week\": \"week 5\",\n      \"opponent\": \"hamburg sea devils\"\n    },\n    {\n      \"week\": \"week 6\",\n      \"opponent\": \"rhein fire\"\n    },\n    {\n      \"week\": \"week 7\",\n      \"opponent\": \"barcelona dragons\"\n    },\n    {\n      \"week\": \"week 8\",\n      \"opponent\": \"london monarchs\"\n    },\n    {\n      \"week\": \"week 9\",\n      \"opponent\": \"scottish claymores\"\n    },\n    {\n      \"week\": \"week 10\",\n      \"opponent\": \"frankfurt galaxy\"\n    }\n  ]\n}", "idx": 31528}
{"context": "CREATE TABLE table_191105_3 (first_aired VARCHAR, subject VARCHAR)", "sql_query": "select first_aired from table_191105_3 where subject = 'skeletal system'", "question": "If skeletal system is the subject when was it first aired?", "data_table": "{\n  \"table_191105_3\": [\n    {\n      \"first_aired\": \"2020-01-01\",\n      \"subject\": \"skeletal system\"\n    },\n    {\n      \"first_aired\": \"2019-05-15\",\n      \"subject\": \"digestive system\"\n    },\n    {\n      \"first_aired\": \"2018-09-30\",\n      \"subject\": \"respiratory system\"\n    },\n    {\n      \"first_aired\": \"2017-12-25\",\n      \"subject\": \"circulatory system\"\n    },\n    {\n      \"first_aired\": \"2016-06-10\",\n      \"subject\": \"nervous system\"\n    },\n    {\n      \"first_aired\": \"2015-03-20\",\n      \"subject\": \"endocrine system\"\n    },\n    {\n      \"first_aired\": \"2014-08-05\",\n      \"subject\": \"muscular system\"\n    },\n    {\n      \"first_aired\": \"2013-11-18\",\n      \"subject\": \"integumentary system\"\n    },\n    {\n      \"first_aired\": \"2012-02-28\",\n      \"subject\": \"urinary system\"\n    },\n    {\n      \"first_aired\": \"2011-07-12\",\n      \"subject\": \"reproductive system\"\n    }\n  ]\n}", "idx": 31529}
{"context": "CREATE TABLE table_name_63 (power__kw_ VARCHAR, coverage VARCHAR)", "sql_query": "select power__kw_ from table_name_63 where coverage = 'general santos'", "question": "What is the power in kW corresponding to the station that covers General Santos?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"power__kw_\": \"100\",\n      \"coverage\": \"general santos\"\n    },\n    {\n      \"power__kw_\": \"200\",\n      \"coverage\": \"manila\"\n    },\n    {\n      \"power__kw_\": \"150\",\n      \"coverage\": \"cebu\"\n    },\n    {\n      \"power__kw_\": \"120\",\n      \"coverage\": \"davao\"\n    },\n    {\n      \"power__kw_\": \"180\",\n      \"coverage\": \"general santos\"\n    },\n    {\n      \"power__kw_\": \"250\",\n      \"coverage\": \"manila\"\n    },\n    {\n      \"power__kw_\": \"130\",\n      \"coverage\": \"cebu\"\n    },\n    {\n      \"power__kw_\": \"110\",\n      \"coverage\": \"davao\"\n    },\n    {\n      \"power__kw_\": \"170\",\n      \"coverage\": \"general santos\"\n    },\n    {\n      \"power__kw_\": \"220\",\n      \"coverage\": \"manila\"\n    }\n  ]\n}", "idx": 31530}
{"context": "CREATE TABLE table_13258972_2 (week INTEGER, record VARCHAR)", "sql_query": "select max(week) from table_13258972_2 where record = '5-9'", "question": "In what week was the record 5-9?", "data_table": "{\n  \"table_13258972_2\": [\n    {\n      \"week\": 1,\n      \"record\": \"5-9\"\n    },\n    {\n      \"week\": 2,\n      \"record\": \"10-14\"\n    },\n    {\n      \"week\": 3,\n      \"record\": \"15-19\"\n    },\n    {\n      \"week\": 4,\n      \"record\": \"20-24\"\n    },\n    {\n      \"week\": 5,\n      \"record\": \"25-29\"\n    },\n    {\n      \"week\": 6,\n      \"record\": \"30-34\"\n    },\n    {\n      \"week\": 7,\n      \"record\": \"35-39\"\n    },\n    {\n      \"week\": 8,\n      \"record\": \"40-44\"\n    },\n    {\n      \"week\": 9,\n      \"record\": \"45-49\"\n    },\n    {\n      \"week\": 10,\n      \"record\": \"50-54\"\n    }\n  ]\n}", "idx": 31531}
{"context": "CREATE TABLE table_name_81 (streak VARCHAR, date VARCHAR)", "sql_query": "select streak from table_name_81 where date = 'march 27'", "question": "What was the streak on March 27?", "data_table": "{\n  \"table_name_81\": [\n    {\n      \"streak\": \"win\",\n      \"date\": \"march 27\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"march 27\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"march 28\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"march 29\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"march 29\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"march 30\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"march 31\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"april 1\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"april 1\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"april 2\"\n    }\n  ]\n}", "idx": 31532}
{"context": "CREATE TABLE table_name_36 (played_in VARCHAR, matches VARCHAR)", "sql_query": "select played_in from table_name_36 where matches = '16'", "question": "Where were 16 matches played?", "data_table": "{\n  \"table_name_36\": [\n    {\n      \"played_in\": \"stadium a\",\n      \"matches\": \"16\"\n    },\n    {\n      \"played_in\": \"stadium b\",\n      \"matches\": \"12\"\n    },\n    {\n      \"played_in\": \"stadium c\",\n      \"matches\": \"16\"\n    },\n    {\n      \"played_in\": \"stadium d\",\n      \"matches\": \"8\"\n    },\n    {\n      \"played_in\": \"stadium e\",\n      \"matches\": \"16\"\n    },\n    {\n      \"played_in\": \"stadium f\",\n      \"matches\": \"12\"\n    },\n    {\n      \"played_in\": \"stadium g\",\n      \"matches\": \"16\"\n    },\n    {\n      \"played_in\": \"stadium h\",\n      \"matches\": \"8\"\n    },\n    {\n      \"played_in\": \"stadium i\",\n      \"matches\": \"16\"\n    },\n    {\n      \"played_in\": \"stadium j\",\n      \"matches\": \"12\"\n    }\n  ]\n}", "idx": 31533}
{"context": "CREATE TABLE table_1341865_23 (first_elected VARCHAR, party VARCHAR)", "sql_query": "select first_elected from table_1341865_23 where party = 'republican'", "question": "Name the first elected for the republican party", "data_table": "{\n  \"table_1341865_23\": [\n    {\n      \"first_elected\": \"john\",\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": \"jane\",\n      \"party\": \"democrat\"\n    },\n    {\n      \"first_elected\": \"michael\",\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": \"emily\",\n      \"party\": \"independent\"\n    },\n    {\n      \"first_elected\": \"david\",\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": \"sarah\",\n      \"party\": \"democrat\"\n    },\n    {\n      \"first_elected\": \"robert\",\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": \"olivia\",\n      \"party\": \"independent\"\n    },\n    {\n      \"first_elected\": \"daniel\",\n      \"party\": \"republican\"\n    },\n    {\n      \"first_elected\": \"sophia\",\n      \"party\": \"democrat\"\n    }\n  ]\n}", "idx": 31535}
{"context": "CREATE TABLE table_name_13 (candidate VARCHAR, riding VARCHAR)", "sql_query": "select candidate from table_name_13 where riding = 'hochelaga'", "question": "Who is the Candidate when the Riding is Hochelaga?", "data_table": "{\n  \"table_name_13\": [\n    {\n      \"candidate\": \"john doe\",\n      \"riding\": \"hochelaga\"\n    },\n    {\n      \"candidate\": \"jane smith\",\n      \"riding\": \"hochelaga\"\n    },\n    {\n      \"candidate\": \"michael johnson\",\n      \"riding\": \"outremont\"\n    },\n    {\n      \"candidate\": \"emily brown\",\n      \"riding\": \"outremont\"\n    },\n    {\n      \"candidate\": \"david wilson\",\n      \"riding\": \"papineau\"\n    },\n    {\n      \"candidate\": \"sarah thompson\",\n      \"riding\": \"papineau\"\n    },\n    {\n      \"candidate\": \"robert garcia\",\n      \"riding\": \"rosemont\"\n    },\n    {\n      \"candidate\": \"olivia martinez\",\n      \"riding\": \"rosemont\"\n    },\n    {\n      \"candidate\": \"william taylor\",\n      \"riding\": \"mercier\"\n    },\n    {\n      \"candidate\": \"sophia anderson\",\n      \"riding\": \"mercier\"\n    }\n  ]\n}", "idx": 31536}
{"context": "CREATE TABLE table_name_75 (sspec_number VARCHAR, socket VARCHAR)", "sql_query": "select sspec_number from table_name_75 where socket = 'standard power'", "question": "what is the sspec number when the socket is standard power?", "data_table": "{\n  \"table_name_75\": [\n    {\n      \"sspec_number\": \"12345\",\n      \"socket\": \"standard power\"\n    },\n    {\n      \"sspec_number\": \"67890\",\n      \"socket\": \"standard power\"\n    },\n    {\n      \"sspec_number\": \"24680\",\n      \"socket\": \"low power\"\n    },\n    {\n      \"sspec_number\": \"13579\",\n      \"socket\": \"low power\"\n    },\n    {\n      \"sspec_number\": \"98765\",\n      \"socket\": \"high power\"\n    },\n    {\n      \"sspec_number\": \"54321\",\n      \"socket\": \"high power\"\n    },\n    {\n      \"sspec_number\": \"11111\",\n      \"socket\": \"standard power\"\n    },\n    {\n      \"sspec_number\": \"22222\",\n      \"socket\": \"low power\"\n    },\n    {\n      \"sspec_number\": \"33333\",\n      \"socket\": \"high power\"\n    },\n    {\n      \"sspec_number\": \"44444\",\n      \"socket\": \"low power\"\n    }\n  ]\n}", "idx": 31537}
{"context": "CREATE TABLE table_18278508_2 (main_contestant VARCHAR, co_contestant__yaar_vs_pyaar_ VARCHAR)", "sql_query": "select main_contestant from table_18278508_2 where co_contestant__yaar_vs_pyaar_ = 'tina parekh'", "question": "Who performed with Tina Parekh?", "data_table": "{\n  \"table_18278508_2\": [\n    {\n      \"main_contestant\": \"john doe\",\n      \"co_contestant__yaar_vs_pyaar_\": \"tina parekh\"\n    },\n    {\n      \"main_contestant\": \"jane smith\",\n      \"co_contestant__yaar_vs_pyaar_\": \"johnny depp\"\n    },\n    {\n      \"main_contestant\": \"michael johnson\",\n      \"co_contestant__yaar_vs_pyaar_\": \"brad pitt\"\n    },\n    {\n      \"main_contestant\": \"emily davis\",\n      \"co_contestant__yaar_vs_pyaar_\": \"angelina jolie\"\n    },\n    {\n      \"main_contestant\": \"david brown\",\n      \"co_contestant__yaar_vs_pyaar_\": \"leonardo dicaprio\"\n    },\n    {\n      \"main_contestant\": \"sarah wilson\",\n      \"co_contestant__yaar_vs_pyaar_\": \"tom cruise\"\n    },\n    {\n      \"main_contestant\": \"daniel thompson\",\n      \"co_contestant__yaar_vs_pyaar_\": \"scarlett johansson\"\n    },\n    {\n      \"main_contestant\": \"olivia anderson\",\n      \"co_contestant__yaar_vs_pyaar_\": \"chris hemsworth\"\n    },\n    {\n      \"main_contestant\": \"matthew taylor\",\n      \"co_contestant__yaar_vs_pyaar_\": \"emma watson\"\n    },\n    {\n      \"main_contestant\": \"sophia martinez\",\n      \"co_contestant__yaar_vs_pyaar_\": \"robert downey jr\"\n    }\n  ]\n}", "idx": 31539}
{"context": "CREATE TABLE Apartments (apt_number VARCHAR, apt_id VARCHAR); CREATE TABLE Apartment_Bookings (apt_id VARCHAR, booking_status_code VARCHAR)", "sql_query": "select distinct t2.apt_number from apartment_bookings as t1 join apartments as t2 on t1.apt_id = t2.apt_id where t1.booking_status_code = 'confirmed'", "question": "Show the distinct apartment numbers of the apartments that have bookings with status code \"Confirmed\".", "data_table": "{\n  \"apartments\": [\n    {\n      \"apt_number\": \"a101\",\n      \"apt_id\": \"1\"\n    },\n    {\n      \"apt_number\": \"b202\",\n      \"apt_id\": \"2\"\n    },\n    {\n      \"apt_number\": \"c303\",\n      \"apt_id\": \"3\"\n    },\n    {\n      \"apt_number\": \"d404\",\n      \"apt_id\": \"4\"\n    },\n    {\n      \"apt_number\": \"e505\",\n      \"apt_id\": \"5\"\n    },\n    {\n      \"apt_number\": \"f606\",\n      \"apt_id\": \"6\"\n    },\n    {\n      \"apt_number\": \"g707\",\n      \"apt_id\": \"7\"\n    },\n    {\n      \"apt_number\": \"h808\",\n      \"apt_id\": \"8\"\n    },\n    {\n      \"apt_number\": \"i909\",\n      \"apt_id\": \"9\"\n    },\n    {\n      \"apt_number\": \"j1010\",\n      \"apt_id\": \"10\"\n    }\n  ],\n  \"apartment_bookings\": [\n    {\n      \"apt_id\": \"1\",\n      \"booking_status_code\": \"confirmed\"\n    },\n    {\n      \"apt_id\": \"2\",\n      \"booking_status_code\": \"confirmed\"\n    },\n    {\n      \"apt_id\": \"3\",\n      \"booking_status_code\": \"pending\"\n    },\n    {\n      \"apt_id\": \"4\",\n      \"booking_status_code\": \"confirmed\"\n    },\n    {\n      \"apt_id\": \"5\",\n      \"booking_status_code\": \"pending\"\n    },\n    {\n      \"apt_id\": \"6\",\n      \"booking_status_code\": \"confirmed\"\n    },\n    {\n      \"apt_id\": \"7\",\n      \"booking_status_code\": \"confirmed\"\n    },\n    {\n      \"apt_id\": \"8\",\n      \"booking_status_code\": \"pending\"\n    },\n    {\n      \"apt_id\": \"9\",\n      \"booking_status_code\": \"confirmed\"\n    },\n    {\n      \"apt_id\": \"10\",\n      \"booking_status_code\": \"pending\"\n    }\n  ]\n}", "idx": 31540}
{"context": "CREATE TABLE table_name_47 (winning_score VARCHAR, runner_s__up VARCHAR)", "sql_query": "select winning_score from table_name_47 where runner_s__up = 'brian kamm'", "question": "What was the winning score of the event where Brian Kamm was the runner-up?", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"winning_score\": \"85\",\n      \"runner_s__up\": \"john smith\"\n    },\n    {\n      \"winning_score\": \"92\",\n      \"runner_s__up\": \"brian kamm\"\n    },\n    {\n      \"winning_score\": \"78\",\n      \"runner_s__up\": \"sarah johnson\"\n    },\n    {\n      \"winning_score\": \"89\",\n      \"runner_s__up\": \"michael brown\"\n    },\n    {\n      \"winning_score\": \"95\",\n      \"runner_s__up\": \"emily davis\"\n    },\n    {\n      \"winning_score\": \"82\",\n      \"runner_s__up\": \"brian kamm\"\n    },\n    {\n      \"winning_score\": \"88\",\n      \"runner_s__up\": \"david wilson\"\n    },\n    {\n      \"winning_score\": \"91\",\n      \"runner_s__up\": \"brian kamm\"\n    },\n    {\n      \"winning_score\": \"79\",\n      \"runner_s__up\": \"jessica thompson\"\n    },\n    {\n      \"winning_score\": \"87\",\n      \"runner_s__up\": \"brian kamm\"\n    }\n  ]\n}", "idx": 31541}
{"context": "CREATE TABLE table_name_70 (date VARCHAR, visiting_team VARCHAR, final_score VARCHAR)", "sql_query": "select date from table_name_70 where visiting_team = 'new york giants' and final_score = '37-34'", "question": "What is the date the new york giants were the visiting team and the Final Score was 37-34?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"visiting_team\": \"new york giants\",\n      \"final_score\": \"37-34\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"visiting_team\": \"dallas cowboys\",\n      \"final_score\": \"24-21\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"visiting_team\": \"philadelphia eagles\",\n      \"final_score\": \"17-14\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"visiting_team\": \"washington football team\",\n      \"final_score\": \"30-27\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"visiting_team\": \"new york giants\",\n      \"final_score\": \"21-17\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"visiting_team\": \"dallas cowboys\",\n      \"final_score\": \"28-24\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"visiting_team\": \"philadelphia eagles\",\n      \"final_score\": \"31-28\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"visiting_team\": \"washington football team\",\n      \"final_score\": \"27-24\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"visiting_team\": \"new york giants\",\n      \"final_score\": \"24-20\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"visiting_team\": \"dallas cowboys\",\n      \"final_score\": \"35-31\"\n    }\n  ]\n}", "idx": 31542}
{"context": "CREATE TABLE table_name_47 (champion VARCHAR, score VARCHAR)", "sql_query": "select champion from table_name_47 where score = '7\u20136, 6\u20130'", "question": "Who is the champion with a score of 7\u20136, 6\u20130?", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"champion\": \"roger federer\",\n      \"score\": \"7\u20136, 6\u20130\"\n    },\n    {\n      \"champion\": \"rafael nadal\",\n      \"score\": \"6\u20134, 6\u20133\"\n    },\n    {\n      \"champion\": \"novak djokovic\",\n      \"score\": \"6\u20133, 6\u20134\"\n    },\n    {\n      \"champion\": \"andy murray\",\n      \"score\": \"6\u20132, 6\u20131\"\n    },\n    {\n      \"champion\": \"serena williams\",\n      \"score\": \"6\u20131, 6\u20132\"\n    },\n    {\n      \"champion\": \"naomi osaka\",\n      \"score\": \"6\u20134, 7\u20135\"\n    },\n    {\n      \"champion\": \"ashleigh barty\",\n      \"score\": \"6\u20133, 7\u20135\"\n    },\n    {\n      \"champion\": \"simona halep\",\n      \"score\": \"6\u20132, 6\u20133\"\n    },\n    {\n      \"champion\": \"stefanos tsitsipas\",\n      \"score\": \"7\u20135, 6\u20134\"\n    },\n    {\n      \"champion\": \"daniil medvedev\",\n      \"score\": \"6\u20134, 6\u20133\"\n    }\n  ]\n}", "idx": 31543}
{"context": "CREATE TABLE table_name_17 (opponent VARCHAR, event VARCHAR)", "sql_query": "select opponent from table_name_17 where event = 'iscf - southeast championships'", "question": "What is Opponent, when Event is \"ISCF - Southeast Championships\"?", "data_table": "{\n  \"table_name_17\": [\n    {\n      \"opponent\": \"john doe\",\n      \"event\": \"iscf - southeast championships\"\n    },\n    {\n      \"opponent\": \"jane smith\",\n      \"event\": \"iscf - southeast championships\"\n    },\n    {\n      \"opponent\": \"mike johnson\",\n      \"event\": \"iscf - northeast championships\"\n    },\n    {\n      \"opponent\": \"emily davis\",\n      \"event\": \"iscf - northeast championships\"\n    },\n    {\n      \"opponent\": \"david brown\",\n      \"event\": \"iscf - southwest championships\"\n    },\n    {\n      \"opponent\": \"sarah wilson\",\n      \"event\": \"iscf - southwest championships\"\n    },\n    {\n      \"opponent\": \"robert thompson\",\n      \"event\": \"iscf - northwest championships\"\n    },\n    {\n      \"opponent\": \"olivia anderson\",\n      \"event\": \"iscf - northwest championships\"\n    },\n    {\n      \"opponent\": \"michael lee\",\n      \"event\": \"iscf - central championships\"\n    },\n    {\n      \"opponent\": \"sophia martinez\",\n      \"event\": \"iscf - central championships\"\n    }\n  ]\n}", "idx": 31544}
{"context": "CREATE TABLE claims_processing (claim_outcome_code VARCHAR)", "sql_query": "select count(distinct claim_outcome_code) from claims_processing", "question": "How many distinct claim outcome codes are there?", "data_table": "{\n  \"claims_processing\": [\n    {\n      \"claim_outcome_code\": \"a\"\n    },\n    {\n      \"claim_outcome_code\": \"b\"\n    },\n    {\n      \"claim_outcome_code\": \"c\"\n    },\n    {\n      \"claim_outcome_code\": \"d\"\n    },\n    {\n      \"claim_outcome_code\": \"e\"\n    },\n    {\n      \"claim_outcome_code\": \"f\"\n    },\n    {\n      \"claim_outcome_code\": \"g\"\n    },\n    {\n      \"claim_outcome_code\": \"h\"\n    },\n    {\n      \"claim_outcome_code\": \"i\"\n    },\n    {\n      \"claim_outcome_code\": \"j\"\n    }\n  ]\n}", "idx": 31545}
{"context": "CREATE TABLE table_name_3 (series VARCHAR, opponent VARCHAR, score VARCHAR)", "sql_query": "select series from table_name_3 where opponent = 'calgary flames' and score = '9\u20134'", "question": "Which Series has an Opponent of calgary flames, and a Score of 9\u20134?", "data_table": "{\n  \"table_name_3\": [\n    {\n      \"series\": \"playoffs\",\n      \"opponent\": \"calgary flames\",\n      \"score\": \"9\u20134\"\n    },\n    {\n      \"series\": \"regular season\",\n      \"opponent\": \"calgary flames\",\n      \"score\": \"2\u20131\"\n    },\n    {\n      \"series\": \"playoffs\",\n      \"opponent\": \"vancouver canucks\",\n      \"score\": \"5\u20133\"\n    },\n    {\n      \"series\": \"regular season\",\n      \"opponent\": \"edmonton oilers\",\n      \"score\": \"4\u20132\"\n    },\n    {\n      \"series\": \"playoffs\",\n      \"opponent\": \"winnipeg jets\",\n      \"score\": \"6\u20132\"\n    },\n    {\n      \"series\": \"regular season\",\n      \"opponent\": \"toronto maple leafs\",\n      \"score\": \"3\u20130\"\n    },\n    {\n      \"series\": \"playoffs\",\n      \"opponent\": \"montreal canadiens\",\n      \"score\": \"4\u20131\"\n    },\n    {\n      \"series\": \"regular season\",\n      \"opponent\": \"ottawa senators\",\n      \"score\": \"2\u20134\"\n    },\n    {\n      \"series\": \"playoffs\",\n      \"opponent\": \"boston bruins\",\n      \"score\": \"3\u20132\"\n    },\n    {\n      \"series\": \"regular season\",\n      \"opponent\": \"new york rangers\",\n      \"score\": \"1\u20130\"\n    }\n  ]\n}", "idx": 31546}
{"context": "CREATE TABLE table_name_41 (total VARCHAR, player VARCHAR)", "sql_query": "select count(total) from table_name_41 where player = 'gene littler'", "question": "How many totals does gene littler have?", "data_table": "{\n  \"table_name_41\": [\n    {\n      \"total\": \"100\",\n      \"player\": \"gene littler\"\n    },\n    {\n      \"total\": \"75\",\n      \"player\": \"arnold palmer\"\n    },\n    {\n      \"total\": \"50\",\n      \"player\": \"jack nicklaus\"\n    },\n    {\n      \"total\": \"125\",\n      \"player\": \"gary player\"\n    },\n    {\n      \"total\": \"80\",\n      \"player\": \"tom watson\"\n    },\n    {\n      \"total\": \"95\",\n      \"player\": \"seve ballesteros\"\n    },\n    {\n      \"total\": \"110\",\n      \"player\": \"lee trevino\"\n    },\n    {\n      \"total\": \"70\",\n      \"player\": \"ben hogan\"\n    },\n    {\n      \"total\": \"60\",\n      \"player\": \"sam snead\"\n    },\n    {\n      \"total\": \"90\",\n      \"player\": \"byron nelson\"\n    }\n  ]\n}", "idx": 31547}
{"context": "CREATE TABLE table_name_47 (date_of_death VARCHAR, name VARCHAR, cause_of_death VARCHAR, tenure VARCHAR)", "sql_query": "select date_of_death from table_name_47 where cause_of_death = 'gunfire' and tenure = '6 years' and name = 'maria cecilia rosa'", "question": "What is gunfire victim Maria Cecilia Rosa with 6 years of Tenure Date of Death?", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"date_of_death\": \"2022-01-01\",\n      \"name\": \"maria cecilia rosa\",\n      \"cause_of_death\": \"gunfire\",\n      \"tenure\": \"6 years\"\n    },\n    {\n      \"date_of_death\": \"2021-05-15\",\n      \"name\": \"john smith\",\n      \"cause_of_death\": \"drowning\",\n      \"tenure\": \"2 years\"\n    },\n    {\n      \"date_of_death\": \"2020-11-30\",\n      \"name\": \"emily johnson\",\n      \"cause_of_death\": \"heart attack\",\n      \"tenure\": \"4 years\"\n    },\n    {\n      \"date_of_death\": \"2019-07-22\",\n      \"name\": \"michael brown\",\n      \"cause_of_death\": \"car accident\",\n      \"tenure\": \"1 year\"\n    },\n    {\n      \"date_of_death\": \"2018-03-10\",\n      \"name\": \"sophia davis\",\n      \"cause_of_death\": \"cancer\",\n      \"tenure\": \"3 years\"\n    },\n    {\n      \"date_of_death\": \"2017-09-05\",\n      \"name\": \"daniel wilson\",\n      \"cause_of_death\": \"falling\",\n      \"tenure\": \"5 years\"\n    },\n    {\n      \"date_of_death\": \"2016-02-20\",\n      \"name\": \"olivia martinez\",\n      \"cause_of_death\": \"suicide\",\n      \"tenure\": \"2 years\"\n    },\n    {\n      \"date_of_death\": \"2015-08-12\",\n      \"name\": \"william taylor\",\n      \"cause_of_death\": \"overdose\",\n      \"tenure\": \"4 years\"\n    },\n    {\n      \"date_of_death\": \"2014-04-01\",\n      \"name\": \"ava anderson\",\n      \"cause_of_death\": \"stroke\",\n      \"tenure\": \"1 year\"\n    },\n    {\n      \"date_of_death\": \"2013-10-18\",\n      \"name\": \"james thomas\",\n      \"cause_of_death\": \"fire\",\n      \"tenure\": \"3 years\"\n    }\n  ]\n}", "idx": 31548}
{"context": "CREATE TABLE table_name_62 (leading_scorer VARCHAR, date VARCHAR)", "sql_query": "select leading_scorer from table_name_62 where date = 'november 2, 2007'", "question": "Who was the leading scorer on November 2, 2007?", "data_table": "{\n  \"table_name_62\": [\n    {\n      \"leading_scorer\": \"lebron james\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"kobe bryant\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"kevin durant\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"stephen curry\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"james harden\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"giannis antetokounmpo\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"anthony davis\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"damian lillard\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"luka doncic\",\n      \"date\": \"november 2, 2007\"\n    },\n    {\n      \"leading_scorer\": \"joel embiid\",\n      \"date\": \"november 2, 2007\"\n    }\n  ]\n}", "idx": 31549}
{"context": "CREATE TABLE table_name_99 (money___ INTEGER, player VARCHAR)", "sql_query": "select sum(money___) as $__ from table_name_99 where player = 'angela park'", "question": "What's the sum of money ($) that angela park has won?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"money___\": 100,\n      \"player\": \"angela park\"\n    },\n    {\n      \"money___\": 200,\n      \"player\": \"john doe\"\n    },\n    {\n      \"money___\": 150,\n      \"player\": \"jane smith\"\n    },\n    {\n      \"money___\": 50,\n      \"player\": \"michael brown\"\n    },\n    {\n      \"money___\": 300,\n      \"player\": \"emily jones\"\n    },\n    {\n      \"money___\": 75,\n      \"player\": \"david wilson\"\n    },\n    {\n      \"money___\": 250,\n      \"player\": \"sarah thompson\"\n    },\n    {\n      \"money___\": 125,\n      \"player\": \"robert johnson\"\n    },\n    {\n      \"money___\": 175,\n      \"player\": \"lisa anderson\"\n    },\n    {\n      \"money___\": 350,\n      \"player\": \"matthew taylor\"\n    }\n  ]\n}", "idx": 31550}
{"context": "CREATE TABLE table_name_89 (date VARCHAR, surface VARCHAR, score VARCHAR)", "sql_query": "select date from table_name_89 where surface = 'clay' and score = '6\u20133, 5\u20137, 2\u20136'", "question": "Which Date has a Surface of clay, and a Score of 6\u20133, 5\u20137, 2\u20136?", "data_table": "{\n  \"table_name_89\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"surface\": \"clay\",\n      \"score\": \"6\u20133, 5\u20137, 2\u20136\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"surface\": \"grass\",\n      \"score\": \"7\u20136, 6\u20134, 6\u20132\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"surface\": \"hard\",\n      \"score\": \"6\u20134, 6\u20137, 7\u20135\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"surface\": \"clay\",\n      \"score\": \"4\u20136, 6\u20133, 7\u20136\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"surface\": \"grass\",\n      \"score\": \"6\u20132, 6\u20133, 6\u20131\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"surface\": \"hard\",\n      \"score\": \"6\u20131, 6\u20132, 6\u20133\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"surface\": \"clay\",\n      \"score\": \"6\u20134, 6\u20132, 6\u20130\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"surface\": \"grass\",\n      \"score\": \"7\u20135, 6\u20137, 7\u20136\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"surface\": \"hard\",\n      \"score\": \"6\u20133, 7\u20136, 6\u20134\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"surface\": \"clay\",\n      \"score\": \"6\u20132, 6\u20134, 6\u20131\"\n    }\n  ]\n}", "idx": 31551}
{"context": "CREATE TABLE table_name_44 (program VARCHAR, track_name VARCHAR)", "sql_query": "select program from table_name_44 where track_name = 'south fork dirt riders'", "question": "What programs are there for the South Fork Dirt Riders track?", "data_table": "{\n  \"table_name_44\": [\n    {\n      \"program\": \"program a\",\n      \"track_name\": \"south fork dirt riders\"\n    },\n    {\n      \"program\": \"program b\",\n      \"track_name\": \"north fork dirt riders\"\n    },\n    {\n      \"program\": \"program c\",\n      \"track_name\": \"east fork dirt riders\"\n    },\n    {\n      \"program\": \"program d\",\n      \"track_name\": \"west fork dirt riders\"\n    },\n    {\n      \"program\": \"program e\",\n      \"track_name\": \"central fork dirt riders\"\n    },\n    {\n      \"program\": \"program f\",\n      \"track_name\": \"south fork motocross\"\n    },\n    {\n      \"program\": \"program g\",\n      \"track_name\": \"north fork motocross\"\n    },\n    {\n      \"program\": \"program h\",\n      \"track_name\": \"east fork motocross\"\n    },\n    {\n      \"program\": \"program i\",\n      \"track_name\": \"west fork motocross\"\n    },\n    {\n      \"program\": \"program j\",\n      \"track_name\": \"central fork motocross\"\n    }\n  ]\n}", "idx": 31552}
{"context": "CREATE TABLE table_name_34 (location VARCHAR, record VARCHAR)", "sql_query": "select location from table_name_34 where record = '50-19'", "question": "Where is the location with a record of 50-19?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"location\": \"new york\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"boston\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"houston\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"miami\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"denver\",\n      \"record\": \"50-19\"\n    },\n    {\n      \"location\": \"atlanta\",\n      \"record\": \"50-19\"\n    }\n  ]\n}", "idx": 31553}
{"context": "CREATE TABLE table_14058433_5 (won VARCHAR, points_for VARCHAR)", "sql_query": "select won from table_14058433_5 where points_for = '596'", "question": "what's the\u00a0won\u00a0with\u00a0points for\u00a0being 596", "data_table": "{\n  \"table_14058433_5\": [\n    {\n      \"won\": \"yes\",\n      \"points_for\": \"596\"\n    },\n    {\n      \"won\": \"no\",\n      \"points_for\": \"500\"\n    },\n    {\n      \"won\": \"yes\",\n      \"points_for\": \"700\"\n    },\n    {\n      \"won\": \"no\",\n      \"points_for\": \"450\"\n    },\n    {\n      \"won\": \"yes\",\n      \"points_for\": \"596\"\n    },\n    {\n      \"won\": \"no\",\n      \"points_for\": \"550\"\n    },\n    {\n      \"won\": \"yes\",\n      \"points_for\": \"596\"\n    },\n    {\n      \"won\": \"no\",\n      \"points_for\": \"400\"\n    },\n    {\n      \"won\": \"yes\",\n      \"points_for\": \"596\"\n    },\n    {\n      \"won\": \"no\",\n      \"points_for\": \"650\"\n    }\n  ]\n}", "idx": 31555}
{"context": "CREATE TABLE table_name_89 (heat INTEGER, athlete VARCHAR)", "sql_query": "select sum(heat) from table_name_89 where athlete = 'anita pistone'", "question": "what is the heat when the athlete is anita pistone?", "data_table": "{\n  \"table_name_89\": [\n    {\n      \"heat\": 85,\n      \"athlete\": \"anita pistone\"\n    },\n    {\n      \"heat\": 72,\n      \"athlete\": \"john doe\"\n    },\n    {\n      \"heat\": 68,\n      \"athlete\": \"jane smith\"\n    },\n    {\n      \"heat\": 91,\n      \"athlete\": \"michael johnson\"\n    },\n    {\n      \"heat\": 77,\n      \"athlete\": \"sarah thompson\"\n    },\n    {\n      \"heat\": 63,\n      \"athlete\": \"robert anderson\"\n    },\n    {\n      \"heat\": 80,\n      \"athlete\": \"emily wilson\"\n    },\n    {\n      \"heat\": 79,\n      \"athlete\": \"david brown\"\n    },\n    {\n      \"heat\": 88,\n      \"athlete\": \"lisa jackson\"\n    },\n    {\n      \"heat\": 70,\n      \"athlete\": \"steven adams\"\n    }\n  ]\n}", "idx": 31556}
{"context": "CREATE TABLE table_16278825_1 (towns__villages VARCHAR, county_seat VARCHAR)", "sql_query": "select towns__villages from table_16278825_1 where county_seat = 'budapest'", "question": "Name the towns/villages for budapest", "data_table": "{\n  \"table_16278825_1\": [\n    {\n      \"towns__villages\": \"budapest\",\n      \"county_seat\": \"budapest\"\n    },\n    {\n      \"towns__villages\": \"debrecen\",\n      \"county_seat\": \"debrecen\"\n    },\n    {\n      \"towns__villages\": \"szeged\",\n      \"county_seat\": \"szeged\"\n    },\n    {\n      \"towns__villages\": \"miskolc\",\n      \"county_seat\": \"miskolc\"\n    },\n    {\n      \"towns__villages\": \"p\u00e9cs\",\n      \"county_seat\": \"p\u00e9cs\"\n    },\n    {\n      \"towns__villages\": \"gy\u0151r\",\n      \"county_seat\": \"gy\u0151r\"\n    },\n    {\n      \"towns__villages\": \"ny\u00edregyh\u00e1za\",\n      \"county_seat\": \"ny\u00edregyh\u00e1za\"\n    },\n    {\n      \"towns__villages\": \"kecskem\u00e9t\",\n      \"county_seat\": \"kecskem\u00e9t\"\n    },\n    {\n      \"towns__villages\": \"sz\u00e9kesfeh\u00e9rv\u00e1r\",\n      \"county_seat\": \"sz\u00e9kesfeh\u00e9rv\u00e1r\"\n    },\n    {\n      \"towns__villages\": \"szombathely\",\n      \"county_seat\": \"szombathely\"\n    }\n  ]\n}", "idx": 31557}
{"context": "CREATE TABLE table_name_22 (player VARCHAR, position VARCHAR, school_club_team VARCHAR)", "sql_query": "select player from table_name_22 where position = 'forward' and school_club_team = 'georgia tech'", "question": "Which Player has a Position of forward, and a School/Club Team of georgia tech?", "data_table": "{\n  \"table_name_22\": [\n    {\n      \"player\": \"john doe\",\n      \"position\": \"forward\",\n      \"school_club_team\": \"georgia tech\"\n    },\n    {\n      \"player\": \"jane smith\",\n      \"position\": \"guard\",\n      \"school_club_team\": \"georgia tech\"\n    },\n    {\n      \"player\": \"mike johnson\",\n      \"position\": \"forward\",\n      \"school_club_team\": \"duke\"\n    },\n    {\n      \"player\": \"emily brown\",\n      \"position\": \"center\",\n      \"school_club_team\": \"duke\"\n    },\n    {\n      \"player\": \"alex wilson\",\n      \"position\": \"forward\",\n      \"school_club_team\": \"kentucky\"\n    },\n    {\n      \"player\": \"sarah davis\",\n      \"position\": \"guard\",\n      \"school_club_team\": \"kentucky\"\n    },\n    {\n      \"player\": \"chris thompson\",\n      \"position\": \"forward\",\n      \"school_club_team\": \"north carolina\"\n    },\n    {\n      \"player\": \"jessica lee\",\n      \"position\": \"center\",\n      \"school_club_team\": \"north carolina\"\n    },\n    {\n      \"player\": \"ryan miller\",\n      \"position\": \"forward\",\n      \"school_club_team\": \"michigan\"\n    },\n    {\n      \"player\": \"olivia taylor\",\n      \"position\": \"guard\",\n      \"school_club_team\": \"michigan\"\n    }\n  ]\n}", "idx": 31558}
{"context": "CREATE TABLE table_name_49 (opponent VARCHAR, attendance VARCHAR)", "sql_query": "select opponent from table_name_49 where attendance = '48,121'", "question": "Who was the opponent when 48,121 people attended?", "data_table": "{\n  \"table_name_49\": [\n    {\n      \"opponent\": \"team a\",\n      \"attendance\": \"48,121\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"attendance\": \"50,000\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"attendance\": \"45,678\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"attendance\": \"48,121\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"attendance\": \"55,432\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"attendance\": \"48,121\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"attendance\": \"60,000\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"attendance\": \"48,121\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"attendance\": \"42,345\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"attendance\": \"48,121\"\n    }\n  ]\n}", "idx": 31560}
{"context": "CREATE TABLE table_1553485_1 (city_of_license__market VARCHAR, channel_tv___dt__ VARCHAR)", "sql_query": "select city_of_license__market from table_1553485_1 where channel_tv___dt__ = '3 (26)'", "question": "Which city of license/market has 3 (26) as their channel tv (dt)?", "data_table": "{\n  \"table_1553485_1\": [\n    {\n      \"city_of_license__market\": \"new york\",\n      \"channel_tv___dt__\": \"3 (26)\"\n    },\n    {\n      \"city_of_license__market\": \"los angeles\",\n      \"channel_tv___dt__\": \"3 (26)\"\n    },\n    {\n      \"city_of_license__market\": \"chicago\",\n      \"channel_tv___dt__\": \"5 (32)\"\n    },\n    {\n      \"city_of_license__market\": \"san francisco\",\n      \"channel_tv___dt__\": \"5 (32)\"\n    },\n    {\n      \"city_of_license__market\": \"houston\",\n      \"channel_tv___dt__\": \"7 (45)\"\n    },\n    {\n      \"city_of_license__market\": \"miami\",\n      \"channel_tv___dt__\": \"7 (45)\"\n    },\n    {\n      \"city_of_license__market\": \"boston\",\n      \"channel_tv___dt__\": \"9 (18)\"\n    },\n    {\n      \"city_of_license__market\": \"seattle\",\n      \"channel_tv___dt__\": \"9 (18)\"\n    },\n    {\n      \"city_of_license__market\": \"denver\",\n      \"channel_tv___dt__\": \"11 (28)\"\n    },\n    {\n      \"city_of_license__market\": \"dallas\",\n      \"channel_tv___dt__\": \"11 (28)\"\n    }\n  ]\n}", "idx": 31561}
{"context": "CREATE TABLE table_name_26 (song_choice VARCHAR, order__number VARCHAR)", "sql_query": "select song_choice from table_name_26 where order__number = '4'", "question": "What is the Song choice when there is an Order # of 4?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"song_choice\": \"song a\",\n      \"order__number\": \"1\"\n    },\n    {\n      \"song_choice\": \"song b\",\n      \"order__number\": \"2\"\n    },\n    {\n      \"song_choice\": \"song c\",\n      \"order__number\": \"3\"\n    },\n    {\n      \"song_choice\": \"song d\",\n      \"order__number\": \"4\"\n    },\n    {\n      \"song_choice\": \"song e\",\n      \"order__number\": \"5\"\n    },\n    {\n      \"song_choice\": \"song f\",\n      \"order__number\": \"6\"\n    },\n    {\n      \"song_choice\": \"song g\",\n      \"order__number\": \"7\"\n    },\n    {\n      \"song_choice\": \"song h\",\n      \"order__number\": \"8\"\n    },\n    {\n      \"song_choice\": \"song i\",\n      \"order__number\": \"9\"\n    },\n    {\n      \"song_choice\": \"song j\",\n      \"order__number\": \"10\"\n    }\n  ]\n}", "idx": 31562}
{"context": "CREATE TABLE table_name_5 (ground VARCHAR, away VARCHAR)", "sql_query": "select ground from table_name_5 where away = 'toronto rebels'", "question": "On what grounds did the away team of the Toronto Rebels play?", "data_table": "{\n  \"table_name_5\": [\n    {\n      \"ground\": \"stadium a\",\n      \"away\": \"toronto rebels\"\n    },\n    {\n      \"ground\": \"stadium b\",\n      \"away\": \"new york giants\"\n    },\n    {\n      \"ground\": \"stadium c\",\n      \"away\": \"chicago bears\"\n    },\n    {\n      \"ground\": \"stadium d\",\n      \"away\": \"toronto rebels\"\n    },\n    {\n      \"ground\": \"stadium e\",\n      \"away\": \"green bay packers\"\n    },\n    {\n      \"ground\": \"stadium f\",\n      \"away\": \"san francisco 49ers\"\n    },\n    {\n      \"ground\": \"stadium g\",\n      \"away\": \"toronto rebels\"\n    },\n    {\n      \"ground\": \"stadium h\",\n      \"away\": \"dallas cowboys\"\n    },\n    {\n      \"ground\": \"stadium i\",\n      \"away\": \"toronto rebels\"\n    },\n    {\n      \"ground\": \"stadium j\",\n      \"away\": \"new england patriots\"\n    }\n  ]\n}", "idx": 31563}
{"context": "CREATE TABLE table_name_29 (margin_of_victory VARCHAR, country VARCHAR)", "sql_query": "select margin_of_victory from table_name_29 where country = 'south africa'", "question": "What is south africa's margin of victory?", "data_table": "{\n  \"table_name_29\": [\n    {\n      \"margin_of_victory\": \"3\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"margin_of_victory\": \"5\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"margin_of_victory\": \"2\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"margin_of_victory\": \"1\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"margin_of_victory\": \"4\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"margin_of_victory\": \"6\",\n      \"country\": \"south africa\"\n    },\n    {\n      \"margin_of_victory\": \"2\",\n      \"country\": \"australia\"\n    },\n    {\n      \"margin_of_victory\": \"4\",\n      \"country\": \"australia\"\n    },\n    {\n      \"margin_of_victory\": \"3\",\n      \"country\": \"australia\"\n    },\n    {\n      \"margin_of_victory\": \"1\",\n      \"country\": \"australia\"\n    }\n  ]\n}", "idx": 31564}
{"context": "CREATE TABLE table_name_77 (party VARCHAR, constiuency VARCHAR)", "sql_query": "select party from table_name_77 where constiuency = 'council member for the fifth district'", "question": "What is the Party of the council member for the Fifth District?", "data_table": "{\n  \"table_name_77\": [\n    {\n      \"party\": \"democratic\",\n      \"constiuency\": \"council member for the fifth district\"\n    },\n    {\n      \"party\": \"republican\",\n      \"constiuency\": \"council member for the fifth district\"\n    },\n    {\n      \"party\": \"independent\",\n      \"constiuency\": \"council member for the third district\"\n    },\n    {\n      \"party\": \"green party\",\n      \"constiuency\": \"council member for the first district\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"constiuency\": \"council member for the second district\"\n    },\n    {\n      \"party\": \"democratic\",\n      \"constiuency\": \"council member for the fourth district\"\n    },\n    {\n      \"party\": \"republican\",\n      \"constiuency\": \"council member for the third district\"\n    },\n    {\n      \"party\": \"independent\",\n      \"constiuency\": \"council member for the second district\"\n    },\n    {\n      \"party\": \"green party\",\n      \"constiuency\": \"council member for the fourth district\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"constiuency\": \"council member for the first district\"\n    }\n  ]\n}", "idx": 31565}
{"context": "CREATE TABLE products (product_price VARCHAR, product_id VARCHAR); CREATE TABLE complaints (product_price VARCHAR, product_id VARCHAR)", "sql_query": "select product_price from products where not product_id in (select product_id from complaints)", "question": "Find the prices of products which has never received a single complaint.", "data_table": "{\n  \"products\": [\n    {\n      \"product_price\": \"10.99\",\n      \"product_id\": \"p001\"\n    },\n    {\n      \"product_price\": \"15.49\",\n      \"product_id\": \"p002\"\n    },\n    {\n      \"product_price\": \"8.75\",\n      \"product_id\": \"p003\"\n    },\n    {\n      \"product_price\": \"12.99\",\n      \"product_id\": \"p004\"\n    },\n    {\n      \"product_price\": \"9.25\",\n      \"product_id\": \"p005\"\n    },\n    {\n      \"product_price\": \"14.99\",\n      \"product_id\": \"p006\"\n    },\n    {\n      \"product_price\": \"11.50\",\n      \"product_id\": \"p007\"\n    },\n    {\n      \"product_price\": \"7.99\",\n      \"product_id\": \"p008\"\n    },\n    {\n      \"product_price\": \"13.75\",\n      \"product_id\": \"p009\"\n    },\n    {\n      \"product_price\": \"10.25\",\n      \"product_id\": \"p010\"\n    }\n  ],\n  \"complaints\": [\n    {\n      \"product_price\": \"10.99\",\n      \"product_id\": \"p001\"\n    },\n    {\n      \"product_price\": \"8.75\",\n      \"product_id\": \"p003\"\n    },\n    {\n      \"product_price\": \"9.25\",\n      \"product_id\": \"p005\"\n    },\n    {\n      \"product_price\": \"11.50\",\n      \"product_id\": \"p007\"\n    },\n    {\n      \"product_price\": \"7.99\",\n      \"product_id\": \"p008\"\n    }\n  ]\n}", "idx": 31566}
{"context": "CREATE TABLE table_name_26 (attendance INTEGER, home_team VARCHAR)", "sql_query": "select min(attendance) from table_name_26 where home_team = 'welling united'", "question": "What is the lowest Attendance, when Home Team is \"Welling United\"?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"attendance\": 1000,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1500,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 2000,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1200,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1800,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 900,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1100,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1300,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1700,\n      \"home_team\": \"welling united\"\n    },\n    {\n      \"attendance\": 1400,\n      \"home_team\": \"welling united\"\n    }\n  ]\n}", "idx": 31567}
{"context": "CREATE TABLE table_name_25 (type VARCHAR, characters VARCHAR)", "sql_query": "select type from table_name_25 where characters = '\u5ee3\u4e19'", "question": "What type has the characters \u5ee3\u4e19?", "data_table": "{\n  \"table_name_25\": [\n    {\n      \"type\": \"action\",\n      \"characters\": \"\u5ee3\u4e19\"\n    },\n    {\n      \"type\": \"comedy\",\n      \"characters\": \"\u7dad\u5a1c\"\n    },\n    {\n      \"type\": \"drama\",\n      \"characters\": \"\u8389\u8389\"\n    },\n    {\n      \"type\": \"action\",\n      \"characters\": \"\u4e9e\u502b\"\n    },\n    {\n      \"type\": \"comedy\",\n      \"characters\": \"\u857e\u59ae\"\n    },\n    {\n      \"type\": \"drama\",\n      \"characters\": \"\u827e\u746a\"\n    },\n    {\n      \"type\": \"action\",\n      \"characters\": \"\u5091\u514b\"\n    },\n    {\n      \"type\": \"comedy\",\n      \"characters\": \"\u8607\u83f2\"\n    },\n    {\n      \"type\": \"drama\",\n      \"characters\": \"\u5967\u65af\u5361\"\n    },\n    {\n      \"type\": \"action\",\n      \"characters\": \"\u8389\u8389\"\n    }\n  ]\n}", "idx": 31568}
{"context": "CREATE TABLE table_name_42 (winning_score VARCHAR, date VARCHAR)", "sql_query": "select winning_score from table_name_42 where date = 'aug 26, 1973'", "question": "Which Winning score has a Date of aug 26, 1973?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"winning_score\": \"10\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"5\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"8\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"12\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"7\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"9\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"6\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"11\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"4\",\n      \"date\": \"aug 26, 1973\"\n    },\n    {\n      \"winning_score\": \"3\",\n      \"date\": \"aug 26, 1973\"\n    }\n  ]\n}", "idx": 31569}
{"context": "CREATE TABLE table_name_96 (Leading VARCHAR, series VARCHAR)", "sql_query": "select leading as scorer from table_name_96 where series = 'wnba finals'", "question": "Who is the leading scorer of the wnba finals series?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"leading\": \"player a\",\n      \"series\": \"wnba finals\"\n    },\n    {\n      \"leading\": \"player b\",\n      \"series\": \"wnba finals\"\n    },\n    {\n      \"leading\": \"player c\",\n      \"series\": \"regular season\"\n    },\n    {\n      \"leading\": \"player d\",\n      \"series\": \"regular season\"\n    },\n    {\n      \"leading\": \"player e\",\n      \"series\": \"playoffs\"\n    },\n    {\n      \"leading\": \"player f\",\n      \"series\": \"playoffs\"\n    },\n    {\n      \"leading\": \"player g\",\n      \"series\": \"wnba finals\"\n    },\n    {\n      \"leading\": \"player h\",\n      \"series\": \"regular season\"\n    },\n    {\n      \"leading\": \"player i\",\n      \"series\": \"playoffs\"\n    },\n    {\n      \"leading\": \"player j\",\n      \"series\": \"wnba finals\"\n    }\n  ]\n}", "idx": 31571}
{"context": "CREATE TABLE table_name_67 (surface VARCHAR, score VARCHAR)", "sql_query": "select surface from table_name_67 where score = '4\u20136, 6\u20132, [10\u20137]'", "question": "What surface was played on that resulted in a score of 4\u20136, 6\u20132, [10\u20137]?", "data_table": "{\n  \"table_name_67\": [\n    {\n      \"surface\": \"grass\",\n      \"score\": \"4\u20136, 6\u20132, [10\u20137]\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"6\u20134, 3\u20136, [12\u201310]\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"7\u20135, 6\u20137, [11\u20139]\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"6\u20133, 4\u20136, [9\u20137]\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"6\u20132, 6\u20134, [10\u20138]\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"4\u20136, 6\u20133, [11\u20139]\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"6\u20134, 6\u20137, [10\u20138]\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"7\u20135, 6\u20133, [12\u201310]\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"6\u20133, 4\u20136, [11\u20139]\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"6\u20132, 6\u20134, [10\u20138]\"\n    }\n  ]\n}", "idx": 31573}
{"context": "CREATE TABLE table_26860595_2 (fab___nm__ INTEGER)", "sql_query": "select max(fab___nm__) from table_26860595_2", "question": "What was the maximum fab (nm)?", "data_table": "{\n  \"table_26860595_2\": [\n    {\n      \"fab___nm__\": 10\n    },\n    {\n      \"fab___nm__\": 15\n    },\n    {\n      \"fab___nm__\": 20\n    },\n    {\n      \"fab___nm__\": 25\n    },\n    {\n      \"fab___nm__\": 30\n    },\n    {\n      \"fab___nm__\": 35\n    },\n    {\n      \"fab___nm__\": 40\n    },\n    {\n      \"fab___nm__\": 45\n    },\n    {\n      \"fab___nm__\": 50\n    },\n    {\n      \"fab___nm__\": 55\n    }\n  ]\n}", "idx": 31575}
{"context": "CREATE TABLE table_name_37 (host_team VARCHAR, date VARCHAR)", "sql_query": "select host_team from table_name_37 where date = 'september 11'", "question": "What team was the host on september 11?", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"host_team\": \"team a\",\n      \"date\": \"september 11\"\n    },\n    {\n      \"host_team\": \"team b\",\n      \"date\": \"september 12\"\n    },\n    {\n      \"host_team\": \"team c\",\n      \"date\": \"september 11\"\n    },\n    {\n      \"host_team\": \"team d\",\n      \"date\": \"september 13\"\n    },\n    {\n      \"host_team\": \"team e\",\n      \"date\": \"september 11\"\n    },\n    {\n      \"host_team\": \"team f\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"host_team\": \"team g\",\n      \"date\": \"september 11\"\n    },\n    {\n      \"host_team\": \"team h\",\n      \"date\": \"september 15\"\n    },\n    {\n      \"host_team\": \"team i\",\n      \"date\": \"september 11\"\n    },\n    {\n      \"host_team\": \"team j\",\n      \"date\": \"september 16\"\n    }\n  ]\n}", "idx": 31576}
{"context": "CREATE TABLE table_name_11 (years VARCHAR, engine_code VARCHAR)", "sql_query": "select years from table_name_11 where engine_code = 'm54b25'", "question": "During which years was the model with the Engine code of m54b25 manufactured?", "data_table": "{\n  \"table_name_11\": [\n    {\n      \"years\": \"2005\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2008\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2010\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2003\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2006\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2007\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2004\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2009\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2012\",\n      \"engine_code\": \"m54b25\"\n    },\n    {\n      \"years\": \"2011\",\n      \"engine_code\": \"m54b25\"\n    }\n  ]\n}", "idx": 31577}
{"context": "CREATE TABLE table_10875694_11 (title VARCHAR, product_no VARCHAR)", "sql_query": "select count(title) from table_10875694_11 where product_no = 'scus-97330'", "question": "How many titles have the product number SCUS-97330?", "data_table": "{\n  \"table_10875694_11\": [\n    {\n      \"title\": \"product a\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product b\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product c\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product d\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product e\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product f\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product g\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product h\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product i\",\n      \"product_no\": \"scus-97330\"\n    },\n    {\n      \"title\": \"product j\",\n      \"product_no\": \"scus-97330\"\n    }\n  ]\n}", "idx": 31578}
{"context": "CREATE TABLE table_26609958_1 (rainfall_totals__million_m_3__ INTEGER)", "sql_query": "select min(rainfall_totals__million_m_3__) from table_26609958_1", "question": "What is the lowest overall amount of rainfall totals (million m 3)?", "data_table": "{\n  \"table_26609958_1\": [\n    {\n      \"rainfall_totals__million_m_3__\": 10\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 15\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 20\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 25\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 30\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 35\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 40\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 45\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 50\n    },\n    {\n      \"rainfall_totals__million_m_3__\": 55\n    }\n  ]\n}", "idx": 31579}
{"context": "CREATE TABLE table_name_15 (location VARCHAR, mascot VARCHAR)", "sql_query": "select location from table_name_15 where mascot = 'royals'", "question": "Where is the school with Royals as their mascot?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"location\": \"kansas city\",\n      \"mascot\": \"royals\"\n    },\n    {\n      \"location\": \"new york\",\n      \"mascot\": \"yankees\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"mascot\": \"dodgers\"\n    },\n    {\n      \"location\": \"boston\",\n      \"mascot\": \"red sox\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"mascot\": \"cubs\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"mascot\": \"giants\"\n    },\n    {\n      \"location\": \"houston\",\n      \"mascot\": \"astros\"\n    },\n    {\n      \"location\": \"st. louis\",\n      \"mascot\": \"cardinals\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"mascot\": \"mariners\"\n    },\n    {\n      \"location\": \"philadelphia\",\n      \"mascot\": \"phillies\"\n    }\n  ]\n}", "idx": 31580}
{"context": "CREATE TABLE table_name_71 (week INTEGER, date VARCHAR)", "sql_query": "select max(week) from table_name_71 where date = '1995-10-01'", "question": "Which week was the 1995-10-01 game on?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"week\": 1,\n      \"date\": \"1995-10-01\"\n    },\n    {\n      \"week\": 2,\n      \"date\": \"1995-10-02\"\n    },\n    {\n      \"week\": 3,\n      \"date\": \"1995-10-03\"\n    },\n    {\n      \"week\": 4,\n      \"date\": \"1995-10-04\"\n    },\n    {\n      \"week\": 5,\n      \"date\": \"1995-10-05\"\n    },\n    {\n      \"week\": 6,\n      \"date\": \"1995-10-06\"\n    },\n    {\n      \"week\": 7,\n      \"date\": \"1995-10-07\"\n    },\n    {\n      \"week\": 8,\n      \"date\": \"1995-10-08\"\n    },\n    {\n      \"week\": 9,\n      \"date\": \"1995-10-09\"\n    },\n    {\n      \"week\": 10,\n      \"date\": \"1995-10-10\"\n    }\n  ]\n}", "idx": 31581}
{"context": "CREATE TABLE table_name_46 (year VARCHAR, formula VARCHAR)", "sql_query": "select count(year) from table_name_46 where formula = 'grand prix'", "question": "How many years had a formula of Grand Prix?", "data_table": "{\n  \"table_name_46\": [\n    {\n      \"year\": \"2015\",\n      \"formula\": \"grand prix\"\n    },\n    {\n      \"year\": \"2016\",\n      \"formula\": \"grand prix\"\n    },\n    {\n      \"year\": \"2017\",\n      \"formula\": \"formula one\"\n    },\n    {\n      \"year\": \"2018\",\n      \"formula\": \"formula one\"\n    },\n    {\n      \"year\": \"2019\",\n      \"formula\": \"grand prix\"\n    },\n    {\n      \"year\": \"2020\",\n      \"formula\": \"formula one\"\n    },\n    {\n      \"year\": \"2021\",\n      \"formula\": \"grand prix\"\n    },\n    {\n      \"year\": \"2022\",\n      \"formula\": \"formula one\"\n    },\n    {\n      \"year\": \"2023\",\n      \"formula\": \"grand prix\"\n    },\n    {\n      \"year\": \"2024\",\n      \"formula\": \"formula one\"\n    }\n  ]\n}", "idx": 31582}
{"context": "CREATE TABLE table_name_85 (nationality VARCHAR, position_s_ VARCHAR, season_s_ VARCHAR)", "sql_query": "select nationality from table_name_85 where position_s_ = 'guard' and season_s_ = '2006'", "question": "What is the nationality of the player who played guard in 2006?", "data_table": "{\n  \"table_name_85\": [\n    {\n      \"nationality\": \"usa\",\n      \"position_s_\": \"guard\",\n      \"season_s_\": \"2006\"\n    },\n    {\n      \"nationality\": \"canada\",\n      \"position_s_\": \"forward\",\n      \"season_s_\": \"2006\"\n    },\n    {\n      \"nationality\": \"spain\",\n      \"position_s_\": \"center\",\n      \"season_s_\": \"2006\"\n    },\n    {\n      \"nationality\": \"usa\",\n      \"position_s_\": \"guard\",\n      \"season_s_\": \"2007\"\n    },\n    {\n      \"nationality\": \"france\",\n      \"position_s_\": \"forward\",\n      \"season_s_\": \"2007\"\n    },\n    {\n      \"nationality\": \"argentina\",\n      \"position_s_\": \"center\",\n      \"season_s_\": \"2007\"\n    },\n    {\n      \"nationality\": \"usa\",\n      \"position_s_\": \"guard\",\n      \"season_s_\": \"2008\"\n    },\n    {\n      \"nationality\": \"australia\",\n      \"position_s_\": \"forward\",\n      \"season_s_\": \"2008\"\n    },\n    {\n      \"nationality\": \"brazil\",\n      \"position_s_\": \"center\",\n      \"season_s_\": \"2008\"\n    },\n    {\n      \"nationality\": \"usa\",\n      \"position_s_\": \"guard\",\n      \"season_s_\": \"2009\"\n    },\n    {\n      \"nationality\": \"germany\",\n      \"position_s_\": \"forward\",\n      \"season_s_\": \"2009\"\n    },\n    {\n      \"nationality\": \"italy\",\n      \"position_s_\": \"center\",\n      \"season_s_\": \"2009\"\n    }\n  ]\n}", "idx": 31583}
{"context": "CREATE TABLE table_name_30 (third_member VARCHAR, third_party VARCHAR, second_party VARCHAR)", "sql_query": "select third_member from table_name_30 where third_party = 'conservative' and second_party = 'liberal'", "question": "Who is the third member of the third conservative party, and the second liberal party?", "data_table": "{\n  \"table_name_30\": [\n    {\n      \"third_member\": \"john\",\n      \"third_party\": \"conservative\",\n      \"second_party\": \"liberal\"\n    },\n    {\n      \"third_member\": \"sarah\",\n      \"third_party\": \"liberal\",\n      \"second_party\": \"conservative\"\n    },\n    {\n      \"third_member\": \"michael\",\n      \"third_party\": \"conservative\",\n      \"second_party\": \"liberal\"\n    },\n    {\n      \"third_member\": \"emily\",\n      \"third_party\": \"liberal\",\n      \"second_party\": \"conservative\"\n    },\n    {\n      \"third_member\": \"david\",\n      \"third_party\": \"conservative\",\n      \"second_party\": \"liberal\"\n    },\n    {\n      \"third_member\": \"jessica\",\n      \"third_party\": \"liberal\",\n      \"second_party\": \"conservative\"\n    },\n    {\n      \"third_member\": \"daniel\",\n      \"third_party\": \"conservative\",\n      \"second_party\": \"liberal\"\n    },\n    {\n      \"third_member\": \"olivia\",\n      \"third_party\": \"liberal\",\n      \"second_party\": \"conservative\"\n    },\n    {\n      \"third_member\": \"andrew\",\n      \"third_party\": \"conservative\",\n      \"second_party\": \"liberal\"\n    },\n    {\n      \"third_member\": \"sophia\",\n      \"third_party\": \"liberal\",\n      \"second_party\": \"conservative\"\n    }\n  ]\n}", "idx": 31584}
{"context": "CREATE TABLE table_29803475_2 (no_in_series INTEGER, us_viewers__million_ VARCHAR)", "sql_query": "select min(no_in_series) from table_29803475_2 where us_viewers__million_ = '0.23'", "question": "What is the lowest number in series when U.S. viewers is 0.23 million?", "data_table": "{\n  \"table_29803475_2\": [\n    {\n      \"no_in_series\": 1,\n      \"us_viewers__million_\": \"0.23\"\n    },\n    {\n      \"no_in_series\": 2,\n      \"us_viewers__million_\": \"0.45\"\n    },\n    {\n      \"no_in_series\": 3,\n      \"us_viewers__million_\": \"0.67\"\n    },\n    {\n      \"no_in_series\": 4,\n      \"us_viewers__million_\": \"0.89\"\n    },\n    {\n      \"no_in_series\": 5,\n      \"us_viewers__million_\": \"1.01\"\n    },\n    {\n      \"no_in_series\": 6,\n      \"us_viewers__million_\": \"1.23\"\n    },\n    {\n      \"no_in_series\": 7,\n      \"us_viewers__million_\": \"1.45\"\n    },\n    {\n      \"no_in_series\": 8,\n      \"us_viewers__million_\": \"1.67\"\n    },\n    {\n      \"no_in_series\": 9,\n      \"us_viewers__million_\": \"1.89\"\n    },\n    {\n      \"no_in_series\": 10,\n      \"us_viewers__million_\": \"2.01\"\n    }\n  ]\n}", "idx": 31585}
{"context": "CREATE TABLE table_name_65 (role VARCHAR, team VARCHAR, tournament VARCHAR)", "sql_query": "select role from table_name_65 where team = 'platense municipal zacatecoluca' and tournament = 'torneo fraternidad/uncaf club championship'", "question": "During the Tournament of Torneo Fraternidad/UNCAF Club championship, what is the Role of the Platense Municipal Zacatecoluca Team?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"role\": \"forward\",\n      \"team\": \"platense municipal zacatecoluca\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"midfielder\",\n      \"team\": \"platense municipal zacatecoluca\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"defender\",\n      \"team\": \"platense municipal zacatecoluca\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"goalkeeper\",\n      \"team\": \"platense municipal zacatecoluca\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"forward\",\n      \"team\": \"cd fas\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"midfielder\",\n      \"team\": \"cd fas\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"defender\",\n      \"team\": \"cd fas\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"goalkeeper\",\n      \"team\": \"cd fas\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"forward\",\n      \"team\": \"cd aguila\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    },\n    {\n      \"role\": \"midfielder\",\n      \"team\": \"cd aguila\",\n      \"tournament\": \"torneo fraternidad/uncaf club championship\"\n    }\n  ]\n}", "idx": 31588}
{"context": "CREATE TABLE table_name_88 (away_team VARCHAR, home_team VARCHAR)", "sql_query": "select away_team from table_name_88 where home_team = 'collingwood'", "question": "When collingwood played as the home team who was the away team?", "data_table": "{\n  \"table_name_88\": [\n    {\n      \"away_team\": \"collingwood\",\n      \"home_team\": \"richmond\"\n    },\n    {\n      \"away_team\": \"geelong\",\n      \"home_team\": \"collingwood\"\n    },\n    {\n      \"away_team\": \"hawthorn\",\n      \"home_team\": \"essendon\"\n    },\n    {\n      \"away_team\": \"adelaide\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"away_team\": \"sydney\",\n      \"home_team\": \"gws giants\"\n    },\n    {\n      \"away_team\": \"west coast\",\n      \"home_team\": \"fremantle\"\n    },\n    {\n      \"away_team\": \"brisbane lions\",\n      \"home_team\": \"gold coast\"\n    },\n    {\n      \"away_team\": \"carlton\",\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"away_team\": \"western bulldogs\",\n      \"home_team\": \"st kilda\"\n    },\n    {\n      \"away_team\": \"north melbourne\",\n      \"home_team\": \"collingwood\"\n    }\n  ]\n}", "idx": 31589}
{"context": "CREATE TABLE table_name_43 (stories VARCHAR, rank VARCHAR)", "sql_query": "select stories from table_name_43 where rank = '14'", "question": "Which stories have a rank of 14?", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"stories\": \"the great gatsby\",\n      \"rank\": \"14\"\n    },\n    {\n      \"stories\": \"to kill a mockingbird\",\n      \"rank\": \"7\"\n    },\n    {\n      \"stories\": \"pride and prejudice\",\n      \"rank\": \"3\"\n    },\n    {\n      \"stories\": \"1984\",\n      \"rank\": \"14\"\n    },\n    {\n      \"stories\": \"the catcher in the rye\",\n      \"rank\": \"9\"\n    },\n    {\n      \"stories\": \"moby-dick\",\n      \"rank\": \"2\"\n    },\n    {\n      \"stories\": \"the lord of the rings\",\n      \"rank\": \"14\"\n    },\n    {\n      \"stories\": \"harry potter and the sorcerer's stone\",\n      \"rank\": \"5\"\n    },\n    {\n      \"stories\": \"the hobbit\",\n      \"rank\": \"14\"\n    },\n    {\n      \"stories\": \"to kill a mockingbird\",\n      \"rank\": \"12\"\n    }\n  ]\n}", "idx": 31590}
{"context": "CREATE TABLE table_name_20 (part_number_s_ VARCHAR, frequency VARCHAR)", "sql_query": "select part_number_s_ from table_name_20 where frequency = '2.4 ghz'", "question": "What part number(s) has a frequency of 2.4 ghz?", "data_table": "{\n  \"table_name_20\": [\n    {\n      \"part_number_s_\": \"abc123\",\n      \"frequency\": \"2.4 ghz\"\n    },\n    {\n      \"part_number_s_\": \"def456\",\n      \"frequency\": \"5 ghz\"\n    },\n    {\n      \"part_number_s_\": \"ghi789\",\n      \"frequency\": \"2.4 ghz\"\n    },\n    {\n      \"part_number_s_\": \"jkl012\",\n      \"frequency\": \"2.4 ghz\"\n    },\n    {\n      \"part_number_s_\": \"mno345\",\n      \"frequency\": \"5 ghz\"\n    },\n    {\n      \"part_number_s_\": \"pqr678\",\n      \"frequency\": \"2.4 ghz\"\n    },\n    {\n      \"part_number_s_\": \"stu901\",\n      \"frequency\": \"5 ghz\"\n    },\n    {\n      \"part_number_s_\": \"vwx234\",\n      \"frequency\": \"2.4 ghz\"\n    },\n    {\n      \"part_number_s_\": \"yza567\",\n      \"frequency\": \"5 ghz\"\n    },\n    {\n      \"part_number_s_\": \"bcd890\",\n      \"frequency\": \"2.4 ghz\"\n    }\n  ]\n}", "idx": 31591}
{"context": "CREATE TABLE table_name_18 (distance VARCHAR, date VARCHAR)", "sql_query": "select distance from table_name_18 where date = '2008-01-12'", "question": "What is Distance, when Date is \"2008-01-12\"?", "data_table": "{\n  \"table_name_18\": [\n    {\n      \"distance\": \"10 miles\",\n      \"date\": \"2008-01-12\"\n    },\n    {\n      \"distance\": \"5 miles\",\n      \"date\": \"2008-01-12\"\n    },\n    {\n      \"distance\": \"8 miles\",\n      \"date\": \"2008-01-13\"\n    },\n    {\n      \"distance\": \"3 miles\",\n      \"date\": \"2008-01-13\"\n    },\n    {\n      \"distance\": \"12 miles\",\n      \"date\": \"2008-01-14\"\n    },\n    {\n      \"distance\": \"7 miles\",\n      \"date\": \"2008-01-14\"\n    },\n    {\n      \"distance\": \"6 miles\",\n      \"date\": \"2008-01-15\"\n    },\n    {\n      \"distance\": \"9 miles\",\n      \"date\": \"2008-01-15\"\n    },\n    {\n      \"distance\": \"4 miles\",\n      \"date\": \"2008-01-16\"\n    },\n    {\n      \"distance\": \"11 miles\",\n      \"date\": \"2008-01-16\"\n    }\n  ]\n}", "idx": 31593}
{"context": "CREATE TABLE table_15081939_4 (province VARCHAR, evening_gown VARCHAR)", "sql_query": "select province from table_15081939_4 where evening_gown = '7.61'", "question": "Which province has evening gown score of 7.61", "data_table": "{\n  \"table_15081939_4\": [\n    {\n      \"province\": \"california\",\n      \"evening_gown\": \"7.61\"\n    },\n    {\n      \"province\": \"new york\",\n      \"evening_gown\": \"5.32\"\n    },\n    {\n      \"province\": \"texas\",\n      \"evening_gown\": \"7.61\"\n    },\n    {\n      \"province\": \"florida\",\n      \"evening_gown\": \"9.12\"\n    },\n    {\n      \"province\": \"illinois\",\n      \"evening_gown\": \"7.61\"\n    },\n    {\n      \"province\": \"ohio\",\n      \"evening_gown\": \"3.78\"\n    },\n    {\n      \"province\": \"georgia\",\n      \"evening_gown\": \"7.61\"\n    },\n    {\n      \"province\": \"michigan\",\n      \"evening_gown\": \"6.25\"\n    },\n    {\n      \"province\": \"washington\",\n      \"evening_gown\": \"7.61\"\n    },\n    {\n      \"province\": \"arizona\",\n      \"evening_gown\": \"8.94\"\n    }\n  ]\n}", "idx": 31594}
{"context": "CREATE TABLE table_name_21 (losing_bonus VARCHAR, club VARCHAR)", "sql_query": "select losing_bonus from table_name_21 where club = 'crumlin rfc'", "question": "What's the losing bonus of Crumlin RFC?", "data_table": "{\n  \"table_name_21\": [\n    {\n      \"losing_bonus\": \"yes\",\n      \"club\": \"crumlin rfc\"\n    },\n    {\n      \"losing_bonus\": \"no\",\n      \"club\": \"crumlin rfc\"\n    },\n    {\n      \"losing_bonus\": \"no\",\n      \"club\": \"ballymena rfc\"\n    },\n    {\n      \"losing_bonus\": \"yes\",\n      \"club\": \"ballymena rfc\"\n    },\n    {\n      \"losing_bonus\": \"no\",\n      \"club\": \"malone rfc\"\n    },\n    {\n      \"losing_bonus\": \"yes\",\n      \"club\": \"malone rfc\"\n    },\n    {\n      \"losing_bonus\": \"yes\",\n      \"club\": \"dungannon rfc\"\n    },\n    {\n      \"losing_bonus\": \"no\",\n      \"club\": \"dungannon rfc\"\n    },\n    {\n      \"losing_bonus\": \"yes\",\n      \"club\": \"belfast harlequins rfc\"\n    },\n    {\n      \"losing_bonus\": \"no\",\n      \"club\": \"belfast harlequins rfc\"\n    }\n  ]\n}", "idx": 31596}
{"context": "CREATE TABLE table_name_96 (general_classification VARCHAR, stage VARCHAR)", "sql_query": "select general_classification from table_name_96 where stage = '4'", "question": "What general classification has 4 as the stage?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"general_classification\": \"class a\",\n      \"stage\": \"1\"\n    },\n    {\n      \"general_classification\": \"class b\",\n      \"stage\": \"2\"\n    },\n    {\n      \"general_classification\": \"class c\",\n      \"stage\": \"3\"\n    },\n    {\n      \"general_classification\": \"class d\",\n      \"stage\": \"4\"\n    },\n    {\n      \"general_classification\": \"class e\",\n      \"stage\": \"5\"\n    },\n    {\n      \"general_classification\": \"class f\",\n      \"stage\": \"6\"\n    },\n    {\n      \"general_classification\": \"class g\",\n      \"stage\": \"7\"\n    },\n    {\n      \"general_classification\": \"class h\",\n      \"stage\": \"8\"\n    },\n    {\n      \"general_classification\": \"class i\",\n      \"stage\": \"9\"\n    },\n    {\n      \"general_classification\": \"class j\",\n      \"stage\": \"10\"\n    }\n  ]\n}", "idx": 31597}
{"context": "CREATE TABLE party (Governor VARCHAR)", "sql_query": "select count(distinct governor) from party", "question": "How many distinct governors are there?", "data_table": "{\n  \"party\": [\n    {\n      \"governor\": \"john smith\"\n    },\n    {\n      \"governor\": \"jane doe\"\n    },\n    {\n      \"governor\": \"michael johnson\"\n    },\n    {\n      \"governor\": \"emily davis\"\n    },\n    {\n      \"governor\": \"robert wilson\"\n    },\n    {\n      \"governor\": \"sarah thompson\"\n    },\n    {\n      \"governor\": \"david brown\"\n    },\n    {\n      \"governor\": \"olivia martinez\"\n    },\n    {\n      \"governor\": \"daniel taylor\"\n    },\n    {\n      \"governor\": \"sophia anderson\"\n    }\n  ]\n}", "idx": 31598}
{"context": "CREATE TABLE table_name_68 (date_of_appointment VARCHAR, replaced_by VARCHAR)", "sql_query": "select date_of_appointment from table_name_68 where replaced_by = 'lucien favre'", "question": "When was the appointment date for the manager replaced by Lucien Favre?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"date_of_appointment\": \"2021-01-01\",\n      \"replaced_by\": \"lucien favre\"\n    },\n    {\n      \"date_of_appointment\": \"2020-05-15\",\n      \"replaced_by\": \"thomas tuchel\"\n    },\n    {\n      \"date_of_appointment\": \"2019-09-10\",\n      \"replaced_by\": \"jose mourinho\"\n    },\n    {\n      \"date_of_appointment\": \"2018-03-20\",\n      \"replaced_by\": \"pep guardiola\"\n    },\n    {\n      \"date_of_appointment\": \"2017-11-12\",\n      \"replaced_by\": \"jurgen klopp\"\n    },\n    {\n      \"date_of_appointment\": \"2016-07-05\",\n      \"replaced_by\": \"zinedine zidane\"\n    },\n    {\n      \"date_of_appointment\": \"2015-12-18\",\n      \"replaced_by\": \"antonio conte\"\n    },\n    {\n      \"date_of_appointment\": \"2014-09-02\",\n      \"replaced_by\": \"carlo ancelotti\"\n    },\n    {\n      \"date_of_appointment\": \"2013-06-21\",\n      \"replaced_by\": \"luis enrique\"\n    },\n    {\n      \"date_of_appointment\": \"2012-02-14\",\n      \"replaced_by\": \"diego simeone\"\n    }\n  ]\n}", "idx": 31599}
{"context": "CREATE TABLE table_name_90 (hometown VARCHAR, height VARCHAR)", "sql_query": "select hometown from table_name_90 where height = '6-10'", "question": "Which Hometown has a Height of 6-10?", "data_table": "{\n  \"table_name_90\": [\n    {\n      \"hometown\": \"new york\",\n      \"height\": \"6-10\"\n    },\n    {\n      \"hometown\": \"los angeles\",\n      \"height\": \"6-10\"\n    },\n    {\n      \"hometown\": \"chicago\",\n      \"height\": \"6-2\"\n    },\n    {\n      \"hometown\": \"miami\",\n      \"height\": \"6-2\"\n    },\n    {\n      \"hometown\": \"seattle\",\n      \"height\": \"6-5\"\n    },\n    {\n      \"hometown\": \"boston\",\n      \"height\": \"6-5\"\n    },\n    {\n      \"hometown\": \"san francisco\",\n      \"height\": \"6-8\"\n    },\n    {\n      \"hometown\": \"dallas\",\n      \"height\": \"6-8\"\n    },\n    {\n      \"hometown\": \"denver\",\n      \"height\": \"6-0\"\n    },\n    {\n      \"hometown\": \"houston\",\n      \"height\": \"6-0\"\n    }\n  ]\n}", "idx": 31600}
{"context": "CREATE TABLE table_name_46 (year VARCHAR, category VARCHAR)", "sql_query": "select year from table_name_46 where category = 'supernova award'", "question": "What year had the supernova award?", "data_table": "{\n  \"table_name_46\": [\n    {\n      \"year\": \"2015\",\n      \"category\": \"supernova award\"\n    },\n    {\n      \"year\": \"2016\",\n      \"category\": \"best actress\"\n    },\n    {\n      \"year\": \"2017\",\n      \"category\": \"supernova award\"\n    },\n    {\n      \"year\": \"2018\",\n      \"category\": \"best actor\"\n    },\n    {\n      \"year\": \"2019\",\n      \"category\": \"supernova award\"\n    },\n    {\n      \"year\": \"2020\",\n      \"category\": \"best director\"\n    },\n    {\n      \"year\": \"2021\",\n      \"category\": \"supernova award\"\n    },\n    {\n      \"year\": \"2022\",\n      \"category\": \"best supporting actress\"\n    },\n    {\n      \"year\": \"2023\",\n      \"category\": \"supernova award\"\n    },\n    {\n      \"year\": \"2024\",\n      \"category\": \"best supporting actor\"\n    }\n  ]\n}", "idx": 31601}
{"context": "CREATE TABLE table_name_8 (position VARCHAR, pick VARCHAR)", "sql_query": "select position from table_name_8 where pick = '11 (via calgary)'", "question": "Which Position has a Pick of 11 (via calgary)?", "data_table": "{\n  \"table_name_8\": [\n    {\n      \"position\": \"forward\",\n      \"pick\": \"1\"\n    },\n    {\n      \"position\": \"defense\",\n      \"pick\": \"2\"\n    },\n    {\n      \"position\": \"goalie\",\n      \"pick\": \"3\"\n    },\n    {\n      \"position\": \"forward\",\n      \"pick\": \"4\"\n    },\n    {\n      \"position\": \"defense\",\n      \"pick\": \"5\"\n    },\n    {\n      \"position\": \"goalie\",\n      \"pick\": \"6\"\n    },\n    {\n      \"position\": \"forward\",\n      \"pick\": \"7\"\n    },\n    {\n      \"position\": \"defense\",\n      \"pick\": \"8\"\n    },\n    {\n      \"position\": \"goalie\",\n      \"pick\": \"9\"\n    },\n    {\n      \"position\": \"forward\",\n      \"pick\": \"11 (via calgary)\"\n    }\n  ]\n}", "idx": 31602}
{"context": "CREATE TABLE table_name_42 (silver VARCHAR, year VARCHAR)", "sql_query": "select silver from table_name_42 where year = '1938'", "question": "How many silver medals were won in 1938?", "data_table": "{\n  \"table_name_42\": [\n    {\n      \"silver\": \"gold\",\n      \"year\": \"1938\"\n    },\n    {\n      \"silver\": \"silver\",\n      \"year\": \"1938\"\n    },\n    {\n      \"silver\": \"bronze\",\n      \"year\": \"1938\"\n    },\n    {\n      \"silver\": \"copper\",\n      \"year\": \"1938\"\n    },\n    {\n      \"silver\": \"platinum\",\n      \"year\": \"1938\"\n    },\n    {\n      \"silver\": \"gold\",\n      \"year\": \"1942\"\n    },\n    {\n      \"silver\": \"silver\",\n      \"year\": \"1942\"\n    },\n    {\n      \"silver\": \"bronze\",\n      \"year\": \"1942\"\n    },\n    {\n      \"silver\": \"copper\",\n      \"year\": \"1942\"\n    },\n    {\n      \"silver\": \"platinum\",\n      \"year\": \"1942\"\n    }\n  ]\n}", "idx": 31603}
{"context": "CREATE TABLE table_2151643_3 (opponents VARCHAR, outcome VARCHAR, surface VARCHAR)", "sql_query": "select opponents from table_2151643_3 where outcome = 'winner' and surface = 'grass'", "question": "Who were the opponents that led to an outcome of winner on a grass surface?", "data_table": "{\n  \"table_2151643_3\": [\n    {\n      \"opponents\": \"john doe\",\n      \"outcome\": \"winner\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"opponents\": \"jane smith\",\n      \"outcome\": \"loser\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"opponents\": \"michael johnson\",\n      \"outcome\": \"winner\",\n      \"surface\": \"hardcourt\"\n    },\n    {\n      \"opponents\": \"sarah thompson\",\n      \"outcome\": \"loser\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"opponents\": \"david lee\",\n      \"outcome\": \"winner\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"opponents\": \"emily wilson\",\n      \"outcome\": \"loser\",\n      \"surface\": \"hardcourt\"\n    },\n    {\n      \"opponents\": \"robert davis\",\n      \"outcome\": \"winner\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"opponents\": \"olivia brown\",\n      \"outcome\": \"loser\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"opponents\": \"daniel harris\",\n      \"outcome\": \"winner\",\n      \"surface\": \"hardcourt\"\n    },\n    {\n      \"opponents\": \"sophia martinez\",\n      \"outcome\": \"loser\",\n      \"surface\": \"grass\"\n    }\n  ]\n}", "idx": 31604}
{"context": "CREATE TABLE table_name_71 (built VARCHAR, location VARCHAR)", "sql_query": "select built from table_name_71 where location = 'lovell'", "question": "In what year was the bridge in Lovell built?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"built\": \"2010\",\n      \"location\": \"lovell\"\n    },\n    {\n      \"built\": \"2005\",\n      \"location\": \"manchester\"\n    },\n    {\n      \"built\": \"2012\",\n      \"location\": \"london\"\n    },\n    {\n      \"built\": \"2008\",\n      \"location\": \"birmingham\"\n    },\n    {\n      \"built\": \"2015\",\n      \"location\": \"glasgow\"\n    },\n    {\n      \"built\": \"2007\",\n      \"location\": \"edinburgh\"\n    },\n    {\n      \"built\": \"2014\",\n      \"location\": \"cardiff\"\n    },\n    {\n      \"built\": \"2011\",\n      \"location\": \"bristol\"\n    },\n    {\n      \"built\": \"2009\",\n      \"location\": \"newcastle\"\n    },\n    {\n      \"built\": \"2013\",\n      \"location\": \"leeds\"\n    }\n  ]\n}", "idx": 31605}
{"context": "CREATE TABLE matches (loser_name VARCHAR)", "sql_query": "select count(distinct loser_name) from matches", "question": "Find the number of distinct name of losers.", "data_table": "{\n  \"matches\": [\n    {\n      \"loser_name\": \"john\"\n    },\n    {\n      \"loser_name\": \"alice\"\n    },\n    {\n      \"loser_name\": \"michael\"\n    },\n    {\n      \"loser_name\": \"sarah\"\n    },\n    {\n      \"loser_name\": \"david\"\n    },\n    {\n      \"loser_name\": \"emily\"\n    },\n    {\n      \"loser_name\": \"daniel\"\n    },\n    {\n      \"loser_name\": \"olivia\"\n    },\n    {\n      \"loser_name\": \"matthew\"\n    },\n    {\n      \"loser_name\": \"sophia\"\n    }\n  ]\n}", "idx": 31606}
{"context": "CREATE TABLE procedures (name VARCHAR, cost VARCHAR)", "sql_query": "select name, cost from procedures order by cost desc", "question": "List the name and cost of all procedures sorted by the cost from the highest to the lowest.", "data_table": "{\n  \"procedures\": [\n    {\n      \"name\": \"appendectomy\",\n      \"cost\": \"$5000\"\n    },\n    {\n      \"name\": \"cataract surgery\",\n      \"cost\": \"$3000\"\n    },\n    {\n      \"name\": \"hip replacement\",\n      \"cost\": \"$10000\"\n    },\n    {\n      \"name\": \"knee arthroscopy\",\n      \"cost\": \"$4000\"\n    },\n    {\n      \"name\": \"laser hair removal\",\n      \"cost\": \"$200\"\n    },\n    {\n      \"name\": \"root canal\",\n      \"cost\": \"$1500\"\n    },\n    {\n      \"name\": \"breast augmentation\",\n      \"cost\": \"$8000\"\n    },\n    {\n      \"name\": \"colonoscopy\",\n      \"cost\": \"$2500\"\n    },\n    {\n      \"name\": \"dental cleaning\",\n      \"cost\": \"$100\"\n    },\n    {\n      \"name\": \"lasik eye surgery\",\n      \"cost\": \"$6000\"\n    }\n  ]\n}", "idx": 31608}
{"context": "CREATE TABLE publication (Publication_Date VARCHAR, Price VARCHAR)", "sql_query": "select publication_date from publication order by price limit 3", "question": "List the publication dates of publications with 3 lowest prices.", "data_table": "{\n  \"publication\": [\n    {\n      \"publication_date\": \"2022-01-01\",\n      \"price\": \"19.99\"\n    },\n    {\n      \"publication_date\": \"2022-02-15\",\n      \"price\": \"14.99\"\n    },\n    {\n      \"publication_date\": \"2022-03-10\",\n      \"price\": \"24.99\"\n    },\n    {\n      \"publication_date\": \"2022-04-05\",\n      \"price\": \"17.99\"\n    },\n    {\n      \"publication_date\": \"2022-05-20\",\n      \"price\": \"21.99\"\n    },\n    {\n      \"publication_date\": \"2022-06-12\",\n      \"price\": \"16.99\"\n    },\n    {\n      \"publication_date\": \"2022-07-08\",\n      \"price\": \"23.99\"\n    },\n    {\n      \"publication_date\": \"2022-08-25\",\n      \"price\": \"18.99\"\n    },\n    {\n      \"publication_date\": \"2022-09-17\",\n      \"price\": \"22.99\"\n    },\n    {\n      \"publication_date\": \"2022-10-30\",\n      \"price\": \"15.99\"\n    }\n  ]\n}", "idx": 31610}
{"context": "CREATE TABLE table_name_45 (outcome VARCHAR, surface VARCHAR, date VARCHAR)", "sql_query": "select outcome from table_name_45 where surface = 'grass' and date = '23 june 1997'", "question": "what is the outcome when the surface is grass on 23 june 1997?", "data_table": "{\n  \"table_name_45\": [\n    {\n      \"outcome\": \"win\",\n      \"surface\": \"grass\",\n      \"date\": \"23 june 1997\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"surface\": \"clay\",\n      \"date\": \"15 april 2002\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"surface\": \"hard\",\n      \"date\": \"7 september 2005\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"surface\": \"grass\",\n      \"date\": \"12 july 2008\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"surface\": \"clay\",\n      \"date\": \"29 may 2011\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"surface\": \"hard\",\n      \"date\": \"3 november 2014\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"surface\": \"grass\",\n      \"date\": \"19 june 2017\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"surface\": \"clay\",\n      \"date\": \"8 april 2020\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"surface\": \"hard\",\n      \"date\": \"2 september 2023\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"surface\": \"grass\",\n      \"date\": \"17 july 2026\"\n    }\n  ]\n}", "idx": 31611}
{"context": "CREATE TABLE table_name_51 (opponent VARCHAR, round VARCHAR)", "sql_query": "select opponent from table_name_51 where round = 'r5'", "question": "Which opponent has a Round of r5?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"opponent\": \"john\",\n      \"round\": \"r1\"\n    },\n    {\n      \"opponent\": \"alice\",\n      \"round\": \"r2\"\n    },\n    {\n      \"opponent\": \"bob\",\n      \"round\": \"r3\"\n    },\n    {\n      \"opponent\": \"emily\",\n      \"round\": \"r4\"\n    },\n    {\n      \"opponent\": \"michael\",\n      \"round\": \"r5\"\n    },\n    {\n      \"opponent\": \"sarah\",\n      \"round\": \"r6\"\n    },\n    {\n      \"opponent\": \"david\",\n      \"round\": \"r7\"\n    },\n    {\n      \"opponent\": \"olivia\",\n      \"round\": \"r8\"\n    },\n    {\n      \"opponent\": \"daniel\",\n      \"round\": \"r9\"\n    },\n    {\n      \"opponent\": \"sophia\",\n      \"round\": \"r10\"\n    }\n  ]\n}", "idx": 31612}
{"context": "CREATE TABLE table_27615445_1 (audition_city VARCHAR, episode_air_date VARCHAR)", "sql_query": "select count(audition_city) from table_27615445_1 where episode_air_date = 'june 24, 2010'", "question": "How many audition city's are there with an episode air date of June 24, 2010?", "data_table": "{\n  \"table_27615445_1\": [\n    {\n      \"audition_city\": \"new york\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"los angeles\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"chicago\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"miami\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"seattle\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"boston\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"san francisco\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"dallas\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"atlanta\",\n      \"episode_air_date\": \"june 24, 2010\"\n    },\n    {\n      \"audition_city\": \"philadelphia\",\n      \"episode_air_date\": \"june 24, 2010\"\n    }\n  ]\n}", "idx": 31613}
{"context": "CREATE TABLE table_2394927_1 (max_downstream_throughput___mbit_s__ VARCHAR, power___dbm__ VARCHAR)", "sql_query": "select max_downstream_throughput___mbit_s__ from table_2394927_1 where power___dbm__ = '+17.5'", "question": "What are the highest mbit/s when the dbm is +17.5?", "data_table": "{\n  \"table_2394927_1\": [\n    {\n      \"max_downstream_throughput___mbit_s__\": \"50\",\n      \"power___dbm__\": \"+17.5\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"100\",\n      \"power___dbm__\": \"+17.5\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"75\",\n      \"power___dbm__\": \"+20.0\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"125\",\n      \"power___dbm__\": \"+20.0\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"200\",\n      \"power___dbm__\": \"+22.5\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"150\",\n      \"power___dbm__\": \"+22.5\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"250\",\n      \"power___dbm__\": \"+25.0\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"175\",\n      \"power___dbm__\": \"+25.0\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"300\",\n      \"power___dbm__\": \"+27.5\"\n    },\n    {\n      \"max_downstream_throughput___mbit_s__\": \"225\",\n      \"power___dbm__\": \"+27.5\"\n    }\n  ]\n}", "idx": 31614}
{"context": "CREATE TABLE table_name_50 (captain_2 VARCHAR, result VARCHAR)", "sql_query": "select captain_2 from table_name_50 where result = 'final'", "question": "Which Captain 2 has a Result of final?", "data_table": "{\n  \"table_name_50\": [\n    {\n      \"captain_2\": \"john\",\n      \"result\": \"final\"\n    },\n    {\n      \"captain_2\": \"mike\",\n      \"result\": \"final\"\n    },\n    {\n      \"captain_2\": \"sarah\",\n      \"result\": \"semi-final\"\n    },\n    {\n      \"captain_2\": \"david\",\n      \"result\": \"quarter-final\"\n    },\n    {\n      \"captain_2\": \"emily\",\n      \"result\": \"final\"\n    },\n    {\n      \"captain_2\": \"alex\",\n      \"result\": \"semi-final\"\n    },\n    {\n      \"captain_2\": \"jessica\",\n      \"result\": \"final\"\n    },\n    {\n      \"captain_2\": \"daniel\",\n      \"result\": \"quarter-final\"\n    },\n    {\n      \"captain_2\": \"sophia\",\n      \"result\": \"final\"\n    },\n    {\n      \"captain_2\": \"matthew\",\n      \"result\": \"semi-final\"\n    }\n  ]\n}", "idx": 31615}
{"context": "CREATE TABLE table_name_15 (security_forces VARCHAR, civilians VARCHAR)", "sql_query": "select security_forces from table_name_15 where civilians = '67'", "question": "Name the security forces with civilians of 67", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"security_forces\": \"police\",\n      \"civilians\": \"67\"\n    },\n    {\n      \"security_forces\": \"army\",\n      \"civilians\": \"89\"\n    },\n    {\n      \"security_forces\": \"navy\",\n      \"civilians\": \"45\"\n    },\n    {\n      \"security_forces\": \"air force\",\n      \"civilians\": \"67\"\n    },\n    {\n      \"security_forces\": \"coast guard\",\n      \"civilians\": \"12\"\n    },\n    {\n      \"security_forces\": \"border patrol\",\n      \"civilians\": \"67\"\n    },\n    {\n      \"security_forces\": \"swat\",\n      \"civilians\": \"34\"\n    },\n    {\n      \"security_forces\": \"national guard\",\n      \"civilians\": \"67\"\n    },\n    {\n      \"security_forces\": \"secret service\",\n      \"civilians\": \"56\"\n    },\n    {\n      \"security_forces\": \"fbi\",\n      \"civilians\": \"67\"\n    }\n  ]\n}", "idx": 31616}
{"context": "CREATE TABLE table_1341423_23 (party VARCHAR, incumbent VARCHAR)", "sql_query": "select party from table_1341423_23 where incumbent = 'jim ramstad'", "question": "What party does jim ramstad represent?", "data_table": "{\n  \"table_1341423_23\": [\n    {\n      \"party\": \"democratic\",\n      \"incumbent\": \"john smith\"\n    },\n    {\n      \"party\": \"republican\",\n      \"incumbent\": \"jim ramstad\"\n    },\n    {\n      \"party\": \"independent\",\n      \"incumbent\": \"jane doe\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"incumbent\": \"michael johnson\"\n    },\n    {\n      \"party\": \"green\",\n      \"incumbent\": \"sarah thompson\"\n    },\n    {\n      \"party\": \"democratic\",\n      \"incumbent\": \"robert wilson\"\n    },\n    {\n      \"party\": \"republican\",\n      \"incumbent\": \"david brown\"\n    },\n    {\n      \"party\": \"independent\",\n      \"incumbent\": \"jennifer davis\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"incumbent\": \"christopher lee\"\n    },\n    {\n      \"party\": \"green\",\n      \"incumbent\": \"emily anderson\"\n    }\n  ]\n}", "idx": 31618}
{"context": "CREATE TABLE table_name_44 (director_s_ VARCHAR, writer_s_ VARCHAR)", "sql_query": "select director_s_ from table_name_44 where writer_s_ = 'dana dorian'", "question": "Who was the director that worked with Dana Dorian as the writer?", "data_table": "{\n  \"table_name_44\": [\n    {\n      \"director_s_\": \"john smith\",\n      \"writer_s_\": \"dana dorian\"\n    },\n    {\n      \"director_s_\": \"jane doe\",\n      \"writer_s_\": \"john johnson\"\n    },\n    {\n      \"director_s_\": \"michael brown\",\n      \"writer_s_\": \"dana dorian\"\n    },\n    {\n      \"director_s_\": \"emily davis\",\n      \"writer_s_\": \"robert roberts\"\n    },\n    {\n      \"director_s_\": \"david johnson\",\n      \"writer_s_\": \"dana dorian\"\n    },\n    {\n      \"director_s_\": \"sarah thompson\",\n      \"writer_s_\": \"john johnson\"\n    },\n    {\n      \"director_s_\": \"daniel wilson\",\n      \"writer_s_\": \"dana dorian\"\n    },\n    {\n      \"director_s_\": \"olivia white\",\n      \"writer_s_\": \"robert roberts\"\n    },\n    {\n      \"director_s_\": \"matthew harris\",\n      \"writer_s_\": \"dana dorian\"\n    },\n    {\n      \"director_s_\": \"sophia martinez\",\n      \"writer_s_\": \"john johnson\"\n    }\n  ]\n}", "idx": 31620}
{"context": "CREATE TABLE table_20614109_1 (revenue__ INTEGER, earnings_per_share__\u20ac_ VARCHAR)", "sql_query": "select max(revenue__) as \u20acmillion_ from table_20614109_1 where earnings_per_share__\u20ac_ = '1.19'", "question": "Name the revenue for eps being 1.19", "data_table": "{\n  \"table_20614109_1\": [\n    {\n      \"revenue__\": 1000000,\n      \"earnings_per_share__\u20ac_\": \"1.19\"\n    },\n    {\n      \"revenue__\": 500000,\n      \"earnings_per_share__\u20ac_\": \"0.95\"\n    },\n    {\n      \"revenue__\": 750000,\n      \"earnings_per_share__\u20ac_\": \"1.45\"\n    },\n    {\n      \"revenue__\": 2000000,\n      \"earnings_per_share__\u20ac_\": \"1.12\"\n    },\n    {\n      \"revenue__\": 3000000,\n      \"earnings_per_share__\u20ac_\": \"1.78\"\n    },\n    {\n      \"revenue__\": 1500000,\n      \"earnings_per_share__\u20ac_\": \"1.25\"\n    },\n    {\n      \"revenue__\": 800000,\n      \"earnings_per_share__\u20ac_\": \"1.55\"\n    },\n    {\n      \"revenue__\": 1200000,\n      \"earnings_per_share__\u20ac_\": \"1.08\"\n    },\n    {\n      \"revenue__\": 2500000,\n      \"earnings_per_share__\u20ac_\": \"1.32\"\n    },\n    {\n      \"revenue__\": 600000,\n      \"earnings_per_share__\u20ac_\": \"1.67\"\n    }\n  ]\n}", "idx": 31621}
{"context": "CREATE TABLE table_name_52 (week VARCHAR, date VARCHAR)", "sql_query": "select count(week) from table_name_52 where date = 'november 25, 2001'", "question": "November 25, 2001 was what week of the season?", "data_table": "{\n  \"table_name_52\": [\n    {\n      \"week\": \"week 1\",\n      \"date\": \"november 25, 2001\"\n    },\n    {\n      \"week\": \"week 2\",\n      \"date\": \"november 26, 2001\"\n    },\n    {\n      \"week\": \"week 3\",\n      \"date\": \"november 27, 2001\"\n    },\n    {\n      \"week\": \"week 4\",\n      \"date\": \"november 28, 2001\"\n    },\n    {\n      \"week\": \"week 5\",\n      \"date\": \"november 29, 2001\"\n    },\n    {\n      \"week\": \"week 6\",\n      \"date\": \"november 30, 2001\"\n    },\n    {\n      \"week\": \"week 7\",\n      \"date\": \"december 1, 2001\"\n    },\n    {\n      \"week\": \"week 8\",\n      \"date\": \"december 2, 2001\"\n    },\n    {\n      \"week\": \"week 9\",\n      \"date\": \"december 3, 2001\"\n    },\n    {\n      \"week\": \"week 10\",\n      \"date\": \"december 4, 2001\"\n    }\n  ]\n}", "idx": 31622}
{"context": "CREATE TABLE table_27755603_8 (location_attendance VARCHAR, high_points VARCHAR)", "sql_query": "select location_attendance from table_27755603_8 where high_points = 'austin daye , tracy mcgrady , tayshaun prince (20)'", "question": "Name the location attendance for  austin daye , tracy mcgrady , tayshaun prince (20)", "data_table": "{\n  \"table_27755603_8\": [\n    {\n      \"location_attendance\": \"new york\",\n      \"high_points\": \"austin daye , tracy mcgrady , tayshaun prince (20)\"\n    },\n    {\n      \"location_attendance\": \"los angeles\",\n      \"high_points\": \"kobe bryant , shaquille o'neal , magic johnson (30)\"\n    },\n    {\n      \"location_attendance\": \"chicago\",\n      \"high_points\": \"michael jordan , scottie pippen , dennis rodman (25)\"\n    },\n    {\n      \"location_attendance\": \"boston\",\n      \"high_points\": \"larry bird , kevin mchale , robert parish (18)\"\n    },\n    {\n      \"location_attendance\": \"miami\",\n      \"high_points\": \"lebron james , dwyane wade , chris bosh (27)\"\n    },\n    {\n      \"location_attendance\": \"san francisco\",\n      \"high_points\": \"stephen curry , klay thompson , draymond green (22)\"\n    },\n    {\n      \"location_attendance\": \"houston\",\n      \"high_points\": \"hakeem olajuwon , clyde drexler , ralph sampson (19)\"\n    },\n    {\n      \"location_attendance\": \"philadelphia\",\n      \"high_points\": \"allen iverson , julius erving , charles barkley (23)\"\n    },\n    {\n      \"location_attendance\": \"detroit\",\n      \"high_points\": \"isiah thomas , joe dumars , bill laimbeer (17)\"\n    },\n    {\n      \"location_attendance\": \"phoenix\",\n      \"high_points\": \"steve nash , charles barkley , amare stoudemire (21)\"\n    }\n  ]\n}", "idx": 31623}
{"context": "CREATE TABLE table_1342379_41 (district VARCHAR, incumbent VARCHAR)", "sql_query": "select district from table_1342379_41 where incumbent = 'edward everett eslick'", "question": "What district does edward everett eslick represent?", "data_table": "{\n  \"table_1342379_41\": [\n    {\n      \"district\": \"district a\",\n      \"incumbent\": \"john smith\"\n    },\n    {\n      \"district\": \"district b\",\n      \"incumbent\": \"jane doe\"\n    },\n    {\n      \"district\": \"district c\",\n      \"incumbent\": \"edward everett eslick\"\n    },\n    {\n      \"district\": \"district d\",\n      \"incumbent\": \"michael johnson\"\n    },\n    {\n      \"district\": \"district e\",\n      \"incumbent\": \"sarah thompson\"\n    },\n    {\n      \"district\": \"district f\",\n      \"incumbent\": \"edward everett eslick\"\n    },\n    {\n      \"district\": \"district g\",\n      \"incumbent\": \"robert williams\"\n    },\n    {\n      \"district\": \"district h\",\n      \"incumbent\": \"edward everett eslick\"\n    },\n    {\n      \"district\": \"district i\",\n      \"incumbent\": \"emily davis\"\n    },\n    {\n      \"district\": \"district j\",\n      \"incumbent\": \"edward everett eslick\"\n    }\n  ]\n}", "idx": 31624}
{"context": "CREATE TABLE table_name_87 (no_of_channels VARCHAR, transmission VARCHAR, provider VARCHAR)", "sql_query": "select no_of_channels from table_name_87 where transmission = 'analogue satellite' and provider = 'sky [analogue]'", "question": "How many analogue satellite channels does Sky [Analogue] have?", "data_table": "{\n  \"table_name_87\": [\n    {\n      \"no_of_channels\": \"100\",\n      \"transmission\": \"analogue satellite\",\n      \"provider\": \"sky [analogue]\"\n    },\n    {\n      \"no_of_channels\": \"50\",\n      \"transmission\": \"digital cable\",\n      \"provider\": \"comcast\"\n    },\n    {\n      \"no_of_channels\": \"200\",\n      \"transmission\": \"digital satellite\",\n      \"provider\": \"directv\"\n    },\n    {\n      \"no_of_channels\": \"75\",\n      \"transmission\": \"digital terrestrial\",\n      \"provider\": \"freeview\"\n    },\n    {\n      \"no_of_channels\": \"150\",\n      \"transmission\": \"digital satellite\",\n      \"provider\": \"dish network\"\n    },\n    {\n      \"no_of_channels\": \"80\",\n      \"transmission\": \"analogue cable\",\n      \"provider\": \"cablevision\"\n    },\n    {\n      \"no_of_channels\": \"120\",\n      \"transmission\": \"digital satellite\",\n      \"provider\": \"bell satellite tv\"\n    },\n    {\n      \"no_of_channels\": \"60\",\n      \"transmission\": \"digital terrestrial\",\n      \"provider\": \"freesat\"\n    },\n    {\n      \"no_of_channels\": \"90\",\n      \"transmission\": \"analogue satellite\",\n      \"provider\": \"direct broadcast satellite\"\n    },\n    {\n      \"no_of_channels\": \"180\",\n      \"transmission\": \"digital cable\",\n      \"provider\": \"cox communications\"\n    }\n  ]\n}", "idx": 31625}
{"context": "CREATE TABLE authorship (authid VARCHAR, paperid VARCHAR); CREATE TABLE papers (title VARCHAR, paperid VARCHAR); CREATE TABLE authors (authid VARCHAR, fname VARCHAR, lname VARCHAR)", "sql_query": "select t3.title from authors as t1 join authorship as t2 on t1.authid = t2.authid join papers as t3 on t2.paperid = t3.paperid where t1.fname = 'stephanie' and t1.lname = 'weirich'", "question": "Which papers have \"Stephanie Weirich\" as an author?", "data_table": "{\n  \"authorship\": [\n    {\n      \"authid\": \"1\",\n      \"paperid\": \"101\"\n    },\n    {\n      \"authid\": \"2\",\n      \"paperid\": \"102\"\n    },\n    {\n      \"authid\": \"3\",\n      \"paperid\": \"103\"\n    },\n    {\n      \"authid\": \"4\",\n      \"paperid\": \"104\"\n    },\n    {\n      \"authid\": \"5\",\n      \"paperid\": \"105\"\n    },\n    {\n      \"authid\": \"6\",\n      \"paperid\": \"106\"\n    },\n    {\n      \"authid\": \"7\",\n      \"paperid\": \"107\"\n    },\n    {\n      \"authid\": \"8\",\n      \"paperid\": \"108\"\n    },\n    {\n      \"authid\": \"9\",\n      \"paperid\": \"109\"\n    },\n    {\n      \"authid\": \"10\",\n      \"paperid\": \"110\"\n    }\n  ],\n  \"papers\": [\n    {\n      \"title\": \"introduction to sql\",\n      \"paperid\": \"101\"\n    },\n    {\n      \"title\": \"database design principles\",\n      \"paperid\": \"102\"\n    },\n    {\n      \"title\": \"data analysis techniques\",\n      \"paperid\": \"103\"\n    },\n    {\n      \"title\": \"machine learning algorithms\",\n      \"paperid\": \"104\"\n    },\n    {\n      \"title\": \"web development best practices\",\n      \"paperid\": \"105\"\n    },\n    {\n      \"title\": \"artificial intelligence applications\",\n      \"paperid\": \"106\"\n    },\n    {\n      \"title\": \"network security fundamentals\",\n      \"paperid\": \"107\"\n    },\n    {\n      \"title\": \"cloud computing technologies\",\n      \"paperid\": \"108\"\n    },\n    {\n      \"title\": \"software testing strategies\",\n      \"paperid\": \"109\"\n    },\n    {\n      \"title\": \"mobile app development frameworks\",\n      \"paperid\": \"110\"\n    }\n  ],\n  \"authors\": [\n    {\n      \"authid\": \"1\",\n      \"fname\": \"john\",\n      \"lname\": \"doe\"\n    },\n    {\n      \"authid\": \"2\",\n      \"fname\": \"jane\",\n      \"lname\": \"smith\"\n    },\n    {\n      \"authid\": \"3\",\n      \"fname\": \"michael\",\n      \"lname\": \"johnson\"\n    },\n    {\n      \"authid\": \"4\",\n      \"fname\": \"emily\",\n      \"lname\": \"brown\"\n    },\n    {\n      \"authid\": \"5\",\n      \"fname\": \"david\",\n      \"lname\": \"wilson\"\n    },\n    {\n      \"authid\": \"6\",\n      \"fname\": \"sarah\",\n      \"lname\": \"taylor\"\n    },\n    {\n      \"authid\": \"7\",\n      \"fname\": \"robert\",\n      \"lname\": \"anderson\"\n    },\n    {\n      \"authid\": \"8\",\n      \"fname\": \"jennifer\",\n      \"lname\": \"thomas\"\n    },\n    {\n      \"authid\": \"9\",\n      \"fname\": \"daniel\",\n      \"lname\": \"martinez\"\n    },\n    {\n      \"authid\": \"10\",\n      \"fname\": \"stephanie\",\n      \"lname\": \"weirich\"\n    }\n  ]\n}", "idx": 31626}
{"context": "CREATE TABLE table_11891841_2 (name VARCHAR, p VARCHAR)", "sql_query": "select name from table_11891841_2 where p = 'mf'", "question": "What is the name where p is mf?", "data_table": "{\n  \"table_11891841_2\": [\n    {\n      \"name\": \"john\",\n      \"p\": \"mf\"\n    },\n    {\n      \"name\": \"emily\",\n      \"p\": \"mf\"\n    },\n    {\n      \"name\": \"michael\",\n      \"p\": \"mf\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"p\": \"f\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"p\": \"m\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"p\": \"f\"\n    },\n    {\n      \"name\": \"william\",\n      \"p\": \"m\"\n    },\n    {\n      \"name\": \"ava\",\n      \"p\": \"f\"\n    },\n    {\n      \"name\": \"james\",\n      \"p\": \"m\"\n    },\n    {\n      \"name\": \"isabella\",\n      \"p\": \"f\"\n    }\n  ]\n}", "idx": 31627}
{"context": "CREATE TABLE table_name_91 (tyre VARCHAR, rounds VARCHAR, driver VARCHAR)", "sql_query": "select tyre from table_name_91 where rounds = '1' and driver = 'dave charlton'", "question": "What tyre has 1 round with Dave Charlton driving?", "data_table": "{\n  \"table_name_91\": [\n    {\n      \"tyre\": \"michelin\",\n      \"rounds\": \"1\",\n      \"driver\": \"dave charlton\"\n    },\n    {\n      \"tyre\": \"pirelli\",\n      \"rounds\": \"2\",\n      \"driver\": \"john smith\"\n    },\n    {\n      \"tyre\": \"bridgestone\",\n      \"rounds\": \"1\",\n      \"driver\": \"emma johnson\"\n    },\n    {\n      \"tyre\": \"goodyear\",\n      \"rounds\": \"3\",\n      \"driver\": \"michael brown\"\n    },\n    {\n      \"tyre\": \"dunlop\",\n      \"rounds\": \"2\",\n      \"driver\": \"sarah davis\"\n    },\n    {\n      \"tyre\": \"continental\",\n      \"rounds\": \"1\",\n      \"driver\": \"robert wilson\"\n    },\n    {\n      \"tyre\": \"firestone\",\n      \"rounds\": \"3\",\n      \"driver\": \"jennifer thompson\"\n    },\n    {\n      \"tyre\": \"yokohama\",\n      \"rounds\": \"2\",\n      \"driver\": \"daniel martinez\"\n    },\n    {\n      \"tyre\": \"hankook\",\n      \"rounds\": \"1\",\n      \"driver\": \"sophia anderson\"\n    },\n    {\n      \"tyre\": \"toyo\",\n      \"rounds\": \"3\",\n      \"driver\": \"matthew taylor\"\n    }\n  ]\n}", "idx": 31628}
{"context": "CREATE TABLE table_name_65 (season VARCHAR, losses VARCHAR)", "sql_query": "select season from table_name_65 where losses = '30'", "question": "Which season has Losses of 30?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"season\": \"2019\",\n      \"losses\": \"30\"\n    },\n    {\n      \"season\": \"2020\",\n      \"losses\": \"25\"\n    },\n    {\n      \"season\": \"2018\",\n      \"losses\": \"35\"\n    },\n    {\n      \"season\": \"2017\",\n      \"losses\": \"40\"\n    },\n    {\n      \"season\": \"2016\",\n      \"losses\": \"30\"\n    },\n    {\n      \"season\": \"2015\",\n      \"losses\": \"20\"\n    },\n    {\n      \"season\": \"2014\",\n      \"losses\": \"30\"\n    },\n    {\n      \"season\": \"2013\",\n      \"losses\": \"25\"\n    },\n    {\n      \"season\": \"2012\",\n      \"losses\": \"35\"\n    },\n    {\n      \"season\": \"2011\",\n      \"losses\": \"30\"\n    }\n  ]\n}", "idx": 31629}
{"context": "CREATE TABLE table_25965003_3 (access_using_a_croatian_identity_card VARCHAR, countries_and_territories VARCHAR)", "sql_query": "select access_using_a_croatian_identity_card from table_25965003_3 where countries_and_territories = 'jersey'", "question": "Can one access the Jersey territory using a Croatian identity card?", "data_table": "{\n  \"table_25965003_3\": [\n    {\n      \"access_using_a_croatian_identity_card\": \"yes\",\n      \"countries_and_territories\": \"jersey\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"no\",\n      \"countries_and_territories\": \"jersey\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"yes\",\n      \"countries_and_territories\": \"france\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"no\",\n      \"countries_and_territories\": \"france\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"yes\",\n      \"countries_and_territories\": \"italy\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"no\",\n      \"countries_and_territories\": \"italy\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"yes\",\n      \"countries_and_territories\": \"spain\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"no\",\n      \"countries_and_territories\": \"spain\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"yes\",\n      \"countries_and_territories\": \"germany\"\n    },\n    {\n      \"access_using_a_croatian_identity_card\": \"no\",\n      \"countries_and_territories\": \"germany\"\n    }\n  ]\n}", "idx": 31630}
{"context": "CREATE TABLE table_name_73 (news_freq VARCHAR, show_name VARCHAR)", "sql_query": "select news_freq from table_name_73 where show_name = 'locker room'", "question": "What is the news frequency for the show Locker Room?", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"news_freq\": \"daily\",\n      \"show_name\": \"locker room\"\n    },\n    {\n      \"news_freq\": \"weekly\",\n      \"show_name\": \"sports center\"\n    },\n    {\n      \"news_freq\": \"monthly\",\n      \"show_name\": \"locker room\"\n    },\n    {\n      \"news_freq\": \"daily\",\n      \"show_name\": \"game night\"\n    },\n    {\n      \"news_freq\": \"weekly\",\n      \"show_name\": \"locker room\"\n    },\n    {\n      \"news_freq\": \"monthly\",\n      \"show_name\": \"sports center\"\n    },\n    {\n      \"news_freq\": \"daily\",\n      \"show_name\": \"game night\"\n    },\n    {\n      \"news_freq\": \"weekly\",\n      \"show_name\": \"sports center\"\n    },\n    {\n      \"news_freq\": \"monthly\",\n      \"show_name\": \"locker room\"\n    },\n    {\n      \"news_freq\": \"daily\",\n      \"show_name\": \"game night\"\n    }\n  ]\n}", "idx": 31631}
{"context": "CREATE TABLE table_name_37 (away_team VARCHAR, home_team VARCHAR)", "sql_query": "select away_team from table_name_37 where home_team = 'geelong'", "question": "What is the name of the away team that played Geelong?", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"away_team\": \"melbourne\",\n      \"home_team\": \"geelong\"\n    },\n    {\n      \"away_team\": \"sydney\",\n      \"home_team\": \"hawthorn\"\n    },\n    {\n      \"away_team\": \"adelaide\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"away_team\": \"brisbane\",\n      \"home_team\": \"gold coast\"\n    },\n    {\n      \"away_team\": \"collingwood\",\n      \"home_team\": \"essendon\"\n    },\n    {\n      \"away_team\": \"fremantle\",\n      \"home_team\": \"west coast\"\n    },\n    {\n      \"away_team\": \"gws giants\",\n      \"home_team\": \"richmond\"\n    },\n    {\n      \"away_team\": \"north melbourne\",\n      \"home_team\": \"carlton\"\n    },\n    {\n      \"away_team\": \"st kilda\",\n      \"home_team\": \"western bulldogs\"\n    },\n    {\n      \"away_team\": \"port adelaide\",\n      \"home_team\": \"adelaide\"\n    }\n  ]\n}", "idx": 31632}
{"context": "CREATE TABLE table_name_82 (score VARCHAR, opponent VARCHAR)", "sql_query": "select score from table_name_82 where opponent = 'milos raonic'", "question": "Name the score with opponent of milos raonic", "data_table": "{\n  \"table_name_82\": [\n    {\n      \"score\": \"6-4, 6-3\",\n      \"opponent\": \"milos raonic\"\n    },\n    {\n      \"score\": \"7-6, 6-7, 7-6\",\n      \"opponent\": \"rafael nadal\"\n    },\n    {\n      \"score\": \"6-2, 6-4\",\n      \"opponent\": \"novak djokovic\"\n    },\n    {\n      \"score\": \"6-3, 7-6\",\n      \"opponent\": \"roger federer\"\n    },\n    {\n      \"score\": \"6-1, 6-2\",\n      \"opponent\": \"stefanos tsitsipas\"\n    },\n    {\n      \"score\": \"7-5, 6-3\",\n      \"opponent\": \"alexander zverev\"\n    },\n    {\n      \"score\": \"6-4, 6-7, 7-6\",\n      \"opponent\": \"dominic thiem\"\n    },\n    {\n      \"score\": \"6-3, 6-4\",\n      \"opponent\": \"kei nishikori\"\n    },\n    {\n      \"score\": \"6-2, 6-3\",\n      \"opponent\": \"andrey rublev\"\n    },\n    {\n      \"score\": \"7-6, 6-7, 7-6\",\n      \"opponent\": \"denis shapovalov\"\n    }\n  ]\n}", "idx": 31633}
{"context": "CREATE TABLE employee (emp_fname VARCHAR, emp_jobcode VARCHAR, emp_dob VARCHAR)", "sql_query": "select emp_fname from employee where emp_jobcode = 'prof' order by emp_dob", "question": "List the first name of all employees with job code PROF ordered by their date of birth.", "data_table": "{\n  \"employee\": [\n    {\n      \"emp_fname\": \"john\",\n      \"emp_jobcode\": \"prof\",\n      \"emp_dob\": \"1990-01-01\"\n    },\n    {\n      \"emp_fname\": \"jane\",\n      \"emp_jobcode\": \"admin\",\n      \"emp_dob\": \"1985-05-15\"\n    },\n    {\n      \"emp_fname\": \"michael\",\n      \"emp_jobcode\": \"prof\",\n      \"emp_dob\": \"1988-09-30\"\n    },\n    {\n      \"emp_fname\": \"emily\",\n      \"emp_jobcode\": \"prof\",\n      \"emp_dob\": \"1992-03-20\"\n    },\n    {\n      \"emp_fname\": \"david\",\n      \"emp_jobcode\": \"admin\",\n      \"emp_dob\": \"1994-07-10\"\n    },\n    {\n      \"emp_fname\": \"sarah\",\n      \"emp_jobcode\": \"prof\",\n      \"emp_dob\": \"1987-12-05\"\n    },\n    {\n      \"emp_fname\": \"daniel\",\n      \"emp_jobcode\": \"admin\",\n      \"emp_dob\": \"1991-06-25\"\n    },\n    {\n      \"emp_fname\": \"olivia\",\n      \"emp_jobcode\": \"prof\",\n      \"emp_dob\": \"1989-11-15\"\n    },\n    {\n      \"emp_fname\": \"sophia\",\n      \"emp_jobcode\": \"admin\",\n      \"emp_dob\": \"1993-04-05\"\n    },\n    {\n      \"emp_fname\": \"matthew\",\n      \"emp_jobcode\": \"prof\",\n      \"emp_dob\": \"1996-08-20\"\n    }\n  ]\n}", "idx": 31634}
{"context": "CREATE TABLE table_27319183_5 (share___percentage_ VARCHAR, episode VARCHAR)", "sql_query": "select share___percentage_ from table_27319183_5 where episode = 'semi-final 2'", "question": "What was the share (%) for the Semi-Final 2 episode? ", "data_table": "{\n  \"table_27319183_5\": [\n    {\n      \"share___percentage_\": \"12.5\",\n      \"episode\": \"semi-final 1\"\n    },\n    {\n      \"share___percentage_\": \"8.2\",\n      \"episode\": \"semi-final 2\"\n    },\n    {\n      \"share___percentage_\": \"15.7\",\n      \"episode\": \"quarter-final 1\"\n    },\n    {\n      \"share___percentage_\": \"9.3\",\n      \"episode\": \"quarter-final 2\"\n    },\n    {\n      \"share___percentage_\": \"11.8\",\n      \"episode\": \"final\"\n    },\n    {\n      \"share___percentage_\": \"7.6\",\n      \"episode\": \"semi-final 2\"\n    },\n    {\n      \"share___percentage_\": \"14.2\",\n      \"episode\": \"quarter-final 3\"\n    },\n    {\n      \"share___percentage_\": \"10.1\",\n      \"episode\": \"quarter-final 4\"\n    },\n    {\n      \"share___percentage_\": \"13.9\",\n      \"episode\": \"semi-final 1\"\n    },\n    {\n      \"share___percentage_\": \"6.8\",\n      \"episode\": \"semi-final 2\"\n    }\n  ]\n}", "idx": 31636}
{"context": "CREATE TABLE table_name_70 (abbr VARCHAR, votes__2011_ VARCHAR)", "sql_query": "select abbr from table_name_70 where votes__2011_ = '11.2%'", "question": "WHAT IS THE ABBR WITH VOTES OF 11.2% IN 2011?", "data_table": "{\n  \"table_name_70\": [\n    {\n      \"abbr\": \"ny\",\n      \"votes__2011_\": \"11.2%\"\n    },\n    {\n      \"abbr\": \"ca\",\n      \"votes__2011_\": \"9.8%\"\n    },\n    {\n      \"abbr\": \"tx\",\n      \"votes__2011_\": \"15.6%\"\n    },\n    {\n      \"abbr\": \"fl\",\n      \"votes__2011_\": \"7.3%\"\n    },\n    {\n      \"abbr\": \"il\",\n      \"votes__2011_\": \"12.1%\"\n    },\n    {\n      \"abbr\": \"pa\",\n      \"votes__2011_\": \"10.5%\"\n    },\n    {\n      \"abbr\": \"oh\",\n      \"votes__2011_\": \"8.9%\"\n    },\n    {\n      \"abbr\": \"ga\",\n      \"votes__2011_\": \"13.4%\"\n    },\n    {\n      \"abbr\": \"mi\",\n      \"votes__2011_\": \"6.7%\"\n    },\n    {\n      \"abbr\": \"nc\",\n      \"votes__2011_\": \"14.3%\"\n    }\n  ]\n}", "idx": 31637}
{"context": "CREATE TABLE table_name_12 (_percentage_won VARCHAR, team VARCHAR)", "sql_query": "select _percentage_won from table_name_12 where team = 'durham'", "question": "What is the % Won of Team of durham", "data_table": "{\n  \"table_name_12\": [\n    {\n      \"_percentage_won\": \"75%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"60%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"80%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"90%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"45%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"70%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"55%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"85%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"50%\",\n      \"team\": \"durham\"\n    },\n    {\n      \"_percentage_won\": \"65%\",\n      \"team\": \"durham\"\n    }\n  ]\n}", "idx": 31638}
{"context": "CREATE TABLE table_name_18 (score VARCHAR, place VARCHAR)", "sql_query": "select score from table_name_18 where place = '3'", "question": "Which Score has a Place of 3?", "data_table": "{\n  \"table_name_18\": [\n    {\n      \"score\": \"85\",\n      \"place\": \"1\"\n    },\n    {\n      \"score\": \"92\",\n      \"place\": \"2\"\n    },\n    {\n      \"score\": \"78\",\n      \"place\": \"3\"\n    },\n    {\n      \"score\": \"65\",\n      \"place\": \"4\"\n    },\n    {\n      \"score\": \"89\",\n      \"place\": \"5\"\n    },\n    {\n      \"score\": \"77\",\n      \"place\": \"6\"\n    },\n    {\n      \"score\": \"95\",\n      \"place\": \"7\"\n    },\n    {\n      \"score\": \"83\",\n      \"place\": \"8\"\n    },\n    {\n      \"score\": \"70\",\n      \"place\": \"9\"\n    },\n    {\n      \"score\": \"88\",\n      \"place\": \"10\"\n    }\n  ]\n}", "idx": 31639}
{"context": "CREATE TABLE table_name_39 (division VARCHAR, open_cup VARCHAR)", "sql_query": "select division from table_name_39 where open_cup = '2nd round'", "question": "Which division was the Rampage in when they were in the 2nd round in the Open Cup?", "data_table": "{\n  \"table_name_39\": [\n    {\n      \"division\": \"premier league\",\n      \"open_cup\": \"1st round\"\n    },\n    {\n      \"division\": \"la liga\",\n      \"open_cup\": \"2nd round\"\n    },\n    {\n      \"division\": \"bundesliga\",\n      \"open_cup\": \"3rd round\"\n    },\n    {\n      \"division\": \"serie a\",\n      \"open_cup\": \"2nd round\"\n    },\n    {\n      \"division\": \"ligue 1\",\n      \"open_cup\": \"1st round\"\n    },\n    {\n      \"division\": \"eredivisie\",\n      \"open_cup\": \"3rd round\"\n    },\n    {\n      \"division\": \"primeira liga\",\n      \"open_cup\": \"2nd round\"\n    },\n    {\n      \"division\": \"super lig\",\n      \"open_cup\": \"1st round\"\n    },\n    {\n      \"division\": \"russian premier league\",\n      \"open_cup\": \"3rd round\"\n    },\n    {\n      \"division\": \"scottish premiership\",\n      \"open_cup\": \"2nd round\"\n    }\n  ]\n}", "idx": 31642}
{"context": "CREATE TABLE table_27094070_4 (home_total INTEGER)", "sql_query": "select max(home_total) from table_27094070_4", "question": "What was the highest home total?", "data_table": "{\n  \"table_27094070_4\": [\n    {\n      \"home_total\": 10\n    },\n    {\n      \"home_total\": 15\n    },\n    {\n      \"home_total\": 20\n    },\n    {\n      \"home_total\": 25\n    },\n    {\n      \"home_total\": 30\n    },\n    {\n      \"home_total\": 35\n    },\n    {\n      \"home_total\": 40\n    },\n    {\n      \"home_total\": 45\n    },\n    {\n      \"home_total\": 50\n    },\n    {\n      \"home_total\": 55\n    }\n  ]\n}", "idx": 31643}
{"context": "CREATE TABLE table_name_85 (engine VARCHAR, rounds VARCHAR)", "sql_query": "select engine from table_name_85 where rounds = '10-13'", "question": "What was the featured in Engine through rounds 10-13?", "data_table": "{\n  \"table_name_85\": [\n    {\n      \"engine\": \"v8\",\n      \"rounds\": \"10-13\"\n    },\n    {\n      \"engine\": \"inline-4\",\n      \"rounds\": \"10-13\"\n    },\n    {\n      \"engine\": \"v6\",\n      \"rounds\": \"14-17\"\n    },\n    {\n      \"engine\": \"inline-6\",\n      \"rounds\": \"14-17\"\n    },\n    {\n      \"engine\": \"v12\",\n      \"rounds\": \"18-21\"\n    },\n    {\n      \"engine\": \"flat-4\",\n      \"rounds\": \"18-21\"\n    },\n    {\n      \"engine\": \"v10\",\n      \"rounds\": \"22-25\"\n    },\n    {\n      \"engine\": \"inline-3\",\n      \"rounds\": \"22-25\"\n    },\n    {\n      \"engine\": \"w12\",\n      \"rounds\": \"26-29\"\n    },\n    {\n      \"engine\": \"flat-6\",\n      \"rounds\": \"26-29\"\n    }\n  ]\n}", "idx": 31644}
{"context": "CREATE TABLE table_16388439_3 (home_team VARCHAR)", "sql_query": "select home_team as score from table_16388439_3 where home_team = 'brisbane lions'", "question": "Name the home team score for brisbane lions", "data_table": "{\n  \"table_16388439_3\": [\n    {\n      \"home_team\": \"brisbane lions\"\n    },\n    {\n      \"home_team\": \"collingwood\"\n    },\n    {\n      \"home_team\": \"west coast eagles\"\n    },\n    {\n      \"home_team\": \"geelong cats\"\n    },\n    {\n      \"home_team\": \"richmond tigers\"\n    },\n    {\n      \"home_team\": \"hawthorn hawks\"\n    },\n    {\n      \"home_team\": \"adelaide crows\"\n    },\n    {\n      \"home_team\": \"sydney swans\"\n    },\n    {\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"home_team\": \"western bulldogs\"\n    }\n  ]\n}", "idx": 31645}
{"context": "CREATE TABLE table_2668336_24 (incumbent VARCHAR, candidates VARCHAR)", "sql_query": "select count(incumbent) from table_2668336_24 where candidates = 'charles f. mercer (f) 100%'", "question": "How many times is the candidates charles f. mercer (f) 100%?", "data_table": "{\n  \"table_2668336_24\": [\n    {\n      \"incumbent\": \"john smith\",\n      \"candidates\": \"charles f. mercer (f) 100%\"\n    },\n    {\n      \"incumbent\": \"jane doe\",\n      \"candidates\": \"charles f. mercer (f) 100%\"\n    },\n    {\n      \"incumbent\": \"michael johnson\",\n      \"candidates\": \"john adams (r) 50%\"\n    },\n    {\n      \"incumbent\": \"emily brown\",\n      \"candidates\": \"john adams (r) 50%\"\n    },\n    {\n      \"incumbent\": \"david wilson\",\n      \"candidates\": \"sarah thompson (d) 75%\"\n    },\n    {\n      \"incumbent\": \"olivia davis\",\n      \"candidates\": \"sarah thompson (d) 75%\"\n    },\n    {\n      \"incumbent\": \"daniel taylor\",\n      \"candidates\": \"robert miller (i) 25%\"\n    },\n    {\n      \"incumbent\": \"sophia anderson\",\n      \"candidates\": \"robert miller (i) 25%\"\n    },\n    {\n      \"incumbent\": \"matthew martinez\",\n      \"candidates\": \"emily johnson (g) 10%\"\n    },\n    {\n      \"incumbent\": \"ava thomas\",\n      \"candidates\": \"emily johnson (g) 10%\"\n    }\n  ]\n}", "idx": 31646}
{"context": "CREATE TABLE singer (Name VARCHAR, Citizenship VARCHAR)", "sql_query": "select name from singer where citizenship <> 'france'", "question": "List the name of singers whose citizenship is not \"France\".", "data_table": "{\n  \"singer\": [\n    {\n      \"name\": \"john\",\n      \"citizenship\": \"usa\"\n    },\n    {\n      \"name\": \"maria\",\n      \"citizenship\": \"brazil\"\n    },\n    {\n      \"name\": \"michael\",\n      \"citizenship\": \"canada\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"citizenship\": \"germany\"\n    },\n    {\n      \"name\": \"david\",\n      \"citizenship\": \"australia\"\n    },\n    {\n      \"name\": \"emma\",\n      \"citizenship\": \"france\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"citizenship\": \"spain\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"citizenship\": \"italy\"\n    },\n    {\n      \"name\": \"william\",\n      \"citizenship\": \"uk\"\n    },\n    {\n      \"name\": \"isabella\",\n      \"citizenship\": \"mexico\"\n    }\n  ]\n}", "idx": 31647}
{"context": "CREATE TABLE table_name_6 (week_12_nov_16 VARCHAR, week_3_sept_14 VARCHAR)", "sql_query": "select week_12_nov_16 from table_name_6 where week_3_sept_14 = 'south florida (3-0)'", "question": "What is the week 12 opponent for the year that had a week 3 opponent of South Florida (3-0)?", "data_table": "{\n  \"table_name_6\": [\n    {\n      \"week_12_nov_16\": \"value1\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value2\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value3\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value4\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value5\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value6\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value7\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value8\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value9\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    },\n    {\n      \"week_12_nov_16\": \"value10\",\n      \"week_3_sept_14\": \"south florida (3-0)\"\n    }\n  ]\n}", "idx": 31648}
{"context": "CREATE TABLE table_name_68 (outcome VARCHAR, opponent VARCHAR)", "sql_query": "select outcome from table_name_68 where opponent = 'pascale paradis-mangon'", "question": "WHICH Outcome has aN Opponent of pascale paradis-mangon?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"outcome\": \"win\",\n      \"opponent\": \"pascale paradis-mangon\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"opponent\": \"john doe\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"opponent\": \"jane smith\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"opponent\": \"michael brown\"\n    },\n    {\n      \"outcome\": \"draw\",\n      \"opponent\": \"sarah jones\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"opponent\": \"robert johnson\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"opponent\": \"emily wilson\"\n    },\n    {\n      \"outcome\": \"win\",\n      \"opponent\": \"david miller\"\n    },\n    {\n      \"outcome\": \"loss\",\n      \"opponent\": \"lisa thompson\"\n    },\n    {\n      \"outcome\": \"draw\",\n      \"opponent\": \"matthew anderson\"\n    }\n  ]\n}", "idx": 31649}
{"context": "CREATE TABLE table_name_66 (november VARCHAR, july VARCHAR)", "sql_query": "select november from table_name_66 where july = 'hope marie carlton'", "question": "Who is the November playmate with the July playmate Hope Marie Carlton?", "data_table": "{\n  \"table_name_66\": [\n    {\n      \"november\": \"value1\",\n      \"july\": \"hope marie carlton\"\n    },\n    {\n      \"november\": \"value2\",\n      \"july\": \"hope marie carlton\"\n    },\n    {\n      \"november\": \"value3\",\n      \"july\": \"john doe\"\n    },\n    {\n      \"november\": \"value4\",\n      \"july\": \"jane smith\"\n    },\n    {\n      \"november\": \"value5\",\n      \"july\": \"hope marie carlton\"\n    },\n    {\n      \"november\": \"value6\",\n      \"july\": \"john doe\"\n    },\n    {\n      \"november\": \"value7\",\n      \"july\": \"jane smith\"\n    },\n    {\n      \"november\": \"value8\",\n      \"july\": \"hope marie carlton\"\n    },\n    {\n      \"november\": \"value9\",\n      \"july\": \"john doe\"\n    },\n    {\n      \"november\": \"value10\",\n      \"july\": \"jane smith\"\n    }\n  ]\n}", "idx": 31650}
{"context": "CREATE TABLE table_name_23 (call_sign VARCHAR, virtual_channel VARCHAR)", "sql_query": "select call_sign from table_name_23 where virtual_channel = '16.5'", "question": "Virtual channel of 16.5 has what call sign?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"call_sign\": \"abc\",\n      \"virtual_channel\": \"16.5\"\n    },\n    {\n      \"call_sign\": \"def\",\n      \"virtual_channel\": \"12.3\"\n    },\n    {\n      \"call_sign\": \"ghi\",\n      \"virtual_channel\": \"16.5\"\n    },\n    {\n      \"call_sign\": \"jkl\",\n      \"virtual_channel\": \"8.1\"\n    },\n    {\n      \"call_sign\": \"mno\",\n      \"virtual_channel\": \"16.5\"\n    },\n    {\n      \"call_sign\": \"pqr\",\n      \"virtual_channel\": \"12.3\"\n    },\n    {\n      \"call_sign\": \"stu\",\n      \"virtual_channel\": \"8.1\"\n    },\n    {\n      \"call_sign\": \"vwx\",\n      \"virtual_channel\": \"16.5\"\n    },\n    {\n      \"call_sign\": \"yza\",\n      \"virtual_channel\": \"12.3\"\n    },\n    {\n      \"call_sign\": \"bcd\",\n      \"virtual_channel\": \"8.1\"\n    }\n  ]\n}", "idx": 31651}
{"context": "CREATE TABLE table_name_10 (no10 VARCHAR, no8 VARCHAR)", "sql_query": "select no10 from table_name_10 where no8 = 'diana'", "question": "What was the No. 10 team that has No. 8 of Diana?", "data_table": "{\n  \"table_name_10\": [\n    {\n      \"no10\": \"john\",\n      \"no8\": \"diana\"\n    },\n    {\n      \"no10\": \"alice\",\n      \"no8\": \"diana\"\n    },\n    {\n      \"no10\": \"michael\",\n      \"no8\": \"peter\"\n    },\n    {\n      \"no10\": \"emily\",\n      \"no8\": \"diana\"\n    },\n    {\n      \"no10\": \"david\",\n      \"no8\": \"peter\"\n    },\n    {\n      \"no10\": \"sophia\",\n      \"no8\": \"diana\"\n    },\n    {\n      \"no10\": \"daniel\",\n      \"no8\": \"peter\"\n    },\n    {\n      \"no10\": \"olivia\",\n      \"no8\": \"diana\"\n    },\n    {\n      \"no10\": \"matthew\",\n      \"no8\": \"peter\"\n    },\n    {\n      \"no10\": \"emma\",\n      \"no8\": \"diana\"\n    }\n  ]\n}", "idx": 31652}
{"context": "CREATE TABLE table_name_75 (result VARCHAR, date VARCHAR)", "sql_query": "select result from table_name_75 where date = 'october 12, 2005'", "question": "What is the result foe October 12, 2005?", "data_table": "{\n  \"table_name_75\": [\n    {\n      \"result\": \"success\",\n      \"date\": \"october 12, 2005\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"october 12, 2005\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"september 5, 2008\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"september 5, 2008\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"july 21, 2012\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"july 21, 2012\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"april 3, 2016\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"april 3, 2016\"\n    },\n    {\n      \"result\": \"success\",\n      \"date\": \"november 9, 2019\"\n    },\n    {\n      \"result\": \"failure\",\n      \"date\": \"november 9, 2019\"\n    }\n  ]\n}", "idx": 31653}
{"context": "CREATE TABLE table_name_49 (first_elected INTEGER, district VARCHAR)", "sql_query": "select avg(first_elected) from table_name_49 where district = 'massachusetts 3'", "question": "What is the average First Elected, when District is \"Massachusetts 3\"?", "data_table": "{\n  \"table_name_49\": [\n    {\n      \"first_elected\": 2010,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2008,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2012,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2006,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2014,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2004,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2016,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2002,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2018,\n      \"district\": \"massachusetts 3\"\n    },\n    {\n      \"first_elected\": 2000,\n      \"district\": \"massachusetts 3\"\n    }\n  ]\n}", "idx": 31655}
{"context": "CREATE TABLE table_name_88 (denomination VARCHAR, date_of_issue VARCHAR)", "sql_query": "select denomination from table_name_88 where date_of_issue = '12 april 2005'", "question": "What's the Denomination listed for the Date of Issue 12 April 2005?", "data_table": "{\n  \"table_name_88\": [\n    {\n      \"denomination\": \"10 dollars\",\n      \"date_of_issue\": \"12 april 2005\"\n    },\n    {\n      \"denomination\": \"20 dollars\",\n      \"date_of_issue\": \"12 april 2005\"\n    },\n    {\n      \"denomination\": \"50 dollars\",\n      \"date_of_issue\": \"15 may 2006\"\n    },\n    {\n      \"denomination\": \"100 dollars\",\n      \"date_of_issue\": \"15 may 2006\"\n    },\n    {\n      \"denomination\": \"5 euros\",\n      \"date_of_issue\": \"20 july 2008\"\n    },\n    {\n      \"denomination\": \"10 euros\",\n      \"date_of_issue\": \"20 july 2008\"\n    },\n    {\n      \"denomination\": \"20 euros\",\n      \"date_of_issue\": \"10 september 2010\"\n    },\n    {\n      \"denomination\": \"50 euros\",\n      \"date_of_issue\": \"10 september 2010\"\n    },\n    {\n      \"denomination\": \"1 pound\",\n      \"date_of_issue\": \"5 march 2012\"\n    },\n    {\n      \"denomination\": \"5 pounds\",\n      \"date_of_issue\": \"5 march 2012\"\n    }\n  ]\n}", "idx": 31657}
{"context": "CREATE TABLE table_name_16 (first_us_tour_cast VARCHAR, original_broadway_cast VARCHAR)", "sql_query": "select first_us_tour_cast from table_name_16 where original_broadway_cast = 'sarah bolt'", "question": "What shows as the First US Tour Cast when the Original Broadway Cast was Sarah Bolt?", "data_table": "{\n  \"table_name_16\": [\n    {\n      \"first_us_tour_cast\": \"john smith\",\n      \"original_broadway_cast\": \"sarah bolt\"\n    },\n    {\n      \"first_us_tour_cast\": \"jane doe\",\n      \"original_broadway_cast\": \"sarah bolt\"\n    },\n    {\n      \"first_us_tour_cast\": \"michael johnson\",\n      \"original_broadway_cast\": \"john adams\"\n    },\n    {\n      \"first_us_tour_cast\": \"emily davis\",\n      \"original_broadway_cast\": \"john adams\"\n    },\n    {\n      \"first_us_tour_cast\": \"robert thompson\",\n      \"original_broadway_cast\": \"david brown\"\n    },\n    {\n      \"first_us_tour_cast\": \"jessica wilson\",\n      \"original_broadway_cast\": \"david brown\"\n    },\n    {\n      \"first_us_tour_cast\": \"daniel anderson\",\n      \"original_broadway_cast\": \"emily clark\"\n    },\n    {\n      \"first_us_tour_cast\": \"olivia martinez\",\n      \"original_broadway_cast\": \"emily clark\"\n    },\n    {\n      \"first_us_tour_cast\": \"william taylor\",\n      \"original_broadway_cast\": \"michael johnson\"\n    },\n    {\n      \"first_us_tour_cast\": \"sophia adams\",\n      \"original_broadway_cast\": \"michael johnson\"\n    }\n  ]\n}", "idx": 31658}
{"context": "CREATE TABLE table_25965003_3 (length_of_stay_permitted VARCHAR, countries_and_territories VARCHAR)", "sql_query": "select length_of_stay_permitted from table_25965003_3 where countries_and_territories = 'jersey'", "question": "What is the permitted length of stay in the Jersey territory?", "data_table": "{\n  \"table_25965003_3\": [\n    {\n      \"length_of_stay_permitted\": \"7 days\",\n      \"countries_and_territories\": \"jersey\"\n    },\n    {\n      \"length_of_stay_permitted\": \"14 days\",\n      \"countries_and_territories\": \"jersey\"\n    },\n    {\n      \"length_of_stay_permitted\": \"30 days\",\n      \"countries_and_territories\": \"jersey\"\n    },\n    {\n      \"length_of_stay_permitted\": \"90 days\",\n      \"countries_and_territories\": \"jersey\"\n    },\n    {\n      \"length_of_stay_permitted\": \"7 days\",\n      \"countries_and_territories\": \"france\"\n    },\n    {\n      \"length_of_stay_permitted\": \"14 days\",\n      \"countries_and_territories\": \"france\"\n    },\n    {\n      \"length_of_stay_permitted\": \"30 days\",\n      \"countries_and_territories\": \"france\"\n    },\n    {\n      \"length_of_stay_permitted\": \"90 days\",\n      \"countries_and_territories\": \"france\"\n    },\n    {\n      \"length_of_stay_permitted\": \"7 days\",\n      \"countries_and_territories\": \"spain\"\n    },\n    {\n      \"length_of_stay_permitted\": \"14 days\",\n      \"countries_and_territories\": \"spain\"\n    }\n  ]\n}", "idx": 31659}
{"context": "CREATE TABLE table_name_4 (money___$__ VARCHAR, player VARCHAR)", "sql_query": "select money___$__ from table_name_4 where player = 'morgan pressel'", "question": "What is Money ( $ ), when Player is \"Morgan Pressel\"?", "data_table": "{\n  \"table_name_4\": [\n    {\n      \"money___$__\": \"$1000\",\n      \"player\": \"morgan pressel\"\n    },\n    {\n      \"money___$__\": \"$500\",\n      \"player\": \"tiger woods\"\n    },\n    {\n      \"money___$__\": \"$750\",\n      \"player\": \"serena williams\"\n    },\n    {\n      \"money___$__\": \"$2000\",\n      \"player\": \"roger federer\"\n    },\n    {\n      \"money___$__\": \"$1500\",\n      \"player\": \"simona halep\"\n    },\n    {\n      \"money___$__\": \"$300\",\n      \"player\": \"novak djokovic\"\n    },\n    {\n      \"money___$__\": \"$900\",\n      \"player\": \"naomi osaka\"\n    },\n    {\n      \"money___$__\": \"$1200\",\n      \"player\": \"rafael nadal\"\n    },\n    {\n      \"money___$__\": \"$600\",\n      \"player\": \"ashleigh barty\"\n    },\n    {\n      \"money___$__\": \"$1800\",\n      \"player\": \"andy murray\"\n    }\n  ]\n}", "idx": 31661}
{"context": "CREATE TABLE table_name_9 (score VARCHAR, venue VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_9 where venue = 'pro player stadium' and date = 'june 14'", "question": "what was the score of the game at pro player stadium on june 14?", "data_table": "{\n  \"table_name_9\": [\n    {\n      \"score\": \"5-3\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"2-1\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"4-2\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"1-0\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"3-2\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"2-0\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"4-3\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"3-1\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"2-1\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    },\n    {\n      \"score\": \"1-0\",\n      \"venue\": \"pro player stadium\",\n      \"date\": \"june 14\"\n    }\n  ]\n}", "idx": 31662}
{"context": "CREATE TABLE table_15475116_1 (school VARCHAR, colors VARCHAR)", "sql_query": "select school from table_15475116_1 where colors = 'maroon and white'", "question": "What are all the schools that use the colors maroon and white", "data_table": "{\n  \"table_15475116_1\": [\n    {\n      \"school\": \"university of abc\",\n      \"colors\": \"maroon and white\"\n    },\n    {\n      \"school\": \"xyz college\",\n      \"colors\": \"blue and gold\"\n    },\n    {\n      \"school\": \"123 high school\",\n      \"colors\": \"green and yellow\"\n    },\n    {\n      \"school\": \"city elementary\",\n      \"colors\": \"red and white\"\n    },\n    {\n      \"school\": \"abc academy\",\n      \"colors\": \"purple and silver\"\n    },\n    {\n      \"school\": \"def university\",\n      \"colors\": \"orange and black\"\n    },\n    {\n      \"school\": \"456 middle school\",\n      \"colors\": \"navy blue and white\"\n    },\n    {\n      \"school\": \"pqr institute\",\n      \"colors\": \"teal and gray\"\n    },\n    {\n      \"school\": \"789 preparatory\",\n      \"colors\": \"maroon and gold\"\n    },\n    {\n      \"school\": \"ghi high school\",\n      \"colors\": \"black and red\"\n    }\n  ]\n}", "idx": 31663}
{"context": "CREATE TABLE table_name_65 (streak VARCHAR, date VARCHAR)", "sql_query": "select streak from table_name_65 where date = 'december 30'", "question": "What is the Streak on December 30?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"streak\": \"win\",\n      \"date\": \"december 30\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"december 30\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"december 29\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"december 28\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"december 27\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"december 26\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"december 25\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"december 24\"\n    },\n    {\n      \"streak\": \"loss\",\n      \"date\": \"december 23\"\n    },\n    {\n      \"streak\": \"win\",\n      \"date\": \"december 22\"\n    }\n  ]\n}", "idx": 31664}
{"context": "CREATE TABLE table_name_73 (home_team VARCHAR)", "sql_query": "select home_team as score from table_name_73 where home_team = 'carlton'", "question": "What did Carlton score when they were the Home team?", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"home_team\": \"carlton\"\n    },\n    {\n      \"home_team\": \"richmond\"\n    },\n    {\n      \"home_team\": \"collingwood\"\n    },\n    {\n      \"home_team\": \"geelong\"\n    },\n    {\n      \"home_team\": \"hawthorn\"\n    },\n    {\n      \"home_team\": \"essendon\"\n    },\n    {\n      \"home_team\": \"adelaide\"\n    },\n    {\n      \"home_team\": \"sydney\"\n    },\n    {\n      \"home_team\": \"brisbane\"\n    },\n    {\n      \"home_team\": \"west coast\"\n    }\n  ]\n}", "idx": 31665}
{"context": "CREATE TABLE table_11764007_2 (week_arrived_on_main_island VARCHAR, original_tribe VARCHAR, week_sent_to_third_island VARCHAR)", "sql_query": "select week_arrived_on_main_island from table_11764007_2 where original_tribe = 'shark' and week_sent_to_third_island = '14'", "question": "What week did the member who's original tribe was shark and who was sent to the third island on week 14 arrive on the main island?", "data_table": "{\n  \"table_11764007_2\": [\n    {\n      \"week_arrived_on_main_island\": \"12\",\n      \"original_tribe\": \"shark\",\n      \"week_sent_to_third_island\": \"14\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"10\",\n      \"original_tribe\": \"dolphin\",\n      \"week_sent_to_third_island\": \"9\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"8\",\n      \"original_tribe\": \"turtle\",\n      \"week_sent_to_third_island\": \"11\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"6\",\n      \"original_tribe\": \"shark\",\n      \"week_sent_to_third_island\": \"7\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"4\",\n      \"original_tribe\": \"dolphin\",\n      \"week_sent_to_third_island\": \"3\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"2\",\n      \"original_tribe\": \"turtle\",\n      \"week_sent_to_third_island\": \"5\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"13\",\n      \"original_tribe\": \"shark\",\n      \"week_sent_to_third_island\": \"15\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"11\",\n      \"original_tribe\": \"dolphin\",\n      \"week_sent_to_third_island\": \"10\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"9\",\n      \"original_tribe\": \"turtle\",\n      \"week_sent_to_third_island\": \"12\"\n    },\n    {\n      \"week_arrived_on_main_island\": \"7\",\n      \"original_tribe\": \"shark\",\n      \"week_sent_to_third_island\": \"8\"\n    }\n  ]\n}", "idx": 31666}
{"context": "CREATE TABLE table_29302711_12 (matches_won VARCHAR, name VARCHAR)", "sql_query": "select matches_won from table_29302711_12 where name = 'colin dibley'", "question": "how many matches did colin dibley win", "data_table": "{\n  \"table_29302711_12\": [\n    {\n      \"matches_won\": \"5\",\n      \"name\": \"colin dibley\"\n    },\n    {\n      \"matches_won\": \"3\",\n      \"name\": \"john smith\"\n    },\n    {\n      \"matches_won\": \"2\",\n      \"name\": \"michael jordan\"\n    },\n    {\n      \"matches_won\": \"7\",\n      \"name\": \"serena williams\"\n    },\n    {\n      \"matches_won\": \"1\",\n      \"name\": \"roger federer\"\n    },\n    {\n      \"matches_won\": \"4\",\n      \"name\": \"maria sharapova\"\n    },\n    {\n      \"matches_won\": \"6\",\n      \"name\": \"novak djokovic\"\n    },\n    {\n      \"matches_won\": \"9\",\n      \"name\": \"venus williams\"\n    },\n    {\n      \"matches_won\": \"8\",\n      \"name\": \"rafael nadal\"\n    },\n    {\n      \"matches_won\": \"10\",\n      \"name\": \"simona halep\"\n    }\n  ]\n}", "idx": 31667}
{"context": "CREATE TABLE table_name_99 (score VARCHAR, tie_no VARCHAR)", "sql_query": "select score from table_name_99 where tie_no = '32'", "question": "What is the score if the Tie no is 32?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"score\": \"85\",\n      \"tie_no\": \"32\"\n    },\n    {\n      \"score\": \"92\",\n      \"tie_no\": \"32\"\n    },\n    {\n      \"score\": \"78\",\n      \"tie_no\": \"12\"\n    },\n    {\n      \"score\": \"65\",\n      \"tie_no\": \"12\"\n    },\n    {\n      \"score\": \"70\",\n      \"tie_no\": \"45\"\n    },\n    {\n      \"score\": \"88\",\n      \"tie_no\": \"45\"\n    },\n    {\n      \"score\": \"75\",\n      \"tie_no\": \"78\"\n    },\n    {\n      \"score\": \"82\",\n      \"tie_no\": \"78\"\n    },\n    {\n      \"score\": \"95\",\n      \"tie_no\": \"56\"\n    },\n    {\n      \"score\": \"79\",\n      \"tie_no\": \"56\"\n    }\n  ]\n}", "idx": 31668}
{"context": "CREATE TABLE table_27378582_1 (current_womens_lacrosse_conference VARCHAR, nickname VARCHAR)", "sql_query": "select current_womens_lacrosse_conference from table_27378582_1 where nickname = 'bison'", "question": "Name the current womens lacrosse conference for bison", "data_table": "{\n  \"table_27378582_1\": [\n    {\n      \"current_womens_lacrosse_conference\": \"acc\",\n      \"nickname\": \"tigers\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"big ten\",\n      \"nickname\": \"bison\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"pac-12\",\n      \"nickname\": \"wildcats\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"sec\",\n      \"nickname\": \"gators\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"acc\",\n      \"nickname\": \"panthers\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"big ten\",\n      \"nickname\": \"badgers\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"pac-12\",\n      \"nickname\": \"ducks\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"sec\",\n      \"nickname\": \"rebels\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"acc\",\n      \"nickname\": \"eagles\"\n    },\n    {\n      \"current_womens_lacrosse_conference\": \"big ten\",\n      \"nickname\": \"spartans\"\n    }\n  ]\n}", "idx": 31669}
{"context": "CREATE TABLE table_name_94 (class VARCHAR, identifier VARCHAR)", "sql_query": "select class from table_name_94 where identifier = 'cbf-fm-14'", "question": "What's the class when the identifier is cbf-fm-14?", "data_table": "{\n  \"table_name_94\": [\n    {\n      \"class\": \"math\",\n      \"identifier\": \"cbf-fm-14\"\n    },\n    {\n      \"class\": \"science\",\n      \"identifier\": \"abc-xy-99\"\n    },\n    {\n      \"class\": \"english\",\n      \"identifier\": \"pqr-zz-23\"\n    },\n    {\n      \"class\": \"history\",\n      \"identifier\": \"lmn-aa-78\"\n    },\n    {\n      \"class\": \"geography\",\n      \"identifier\": \"xyz-bb-45\"\n    },\n    {\n      \"class\": \"physics\",\n      \"identifier\": \"def-cc-67\"\n    },\n    {\n      \"class\": \"chemistry\",\n      \"identifier\": \"ghi-dd-32\"\n    },\n    {\n      \"class\": \"biology\",\n      \"identifier\": \"stu-ee-56\"\n    },\n    {\n      \"class\": \"computer science\",\n      \"identifier\": \"vwx-ff-89\"\n    },\n    {\n      \"class\": \"art\",\n      \"identifier\": \"jkl-gg-12\"\n    }\n  ]\n}", "idx": 31670}
{"context": "CREATE TABLE table_25563779_4 (champion VARCHAR, third VARCHAR)", "sql_query": "select champion from table_25563779_4 where third = 'bruno bonifacio'", "question": "If the third name is Bruno Bonifacio, what is the champion?", "data_table": "{\n  \"table_25563779_4\": [\n    {\n      \"champion\": \"john doe\",\n      \"third\": \"bruno bonifacio\"\n    },\n    {\n      \"champion\": \"jane smith\",\n      \"third\": \"johnny appleseed\"\n    },\n    {\n      \"champion\": \"michael johnson\",\n      \"third\": \"bruno bonifacio\"\n    },\n    {\n      \"champion\": \"emily davis\",\n      \"third\": \"samantha jones\"\n    },\n    {\n      \"champion\": \"david brown\",\n      \"third\": \"bruno bonifacio\"\n    },\n    {\n      \"champion\": \"sarah wilson\",\n      \"third\": \"johnny appleseed\"\n    },\n    {\n      \"champion\": \"daniel taylor\",\n      \"third\": \"samantha jones\"\n    },\n    {\n      \"champion\": \"olivia anderson\",\n      \"third\": \"bruno bonifacio\"\n    },\n    {\n      \"champion\": \"matthew martinez\",\n      \"third\": \"johnny appleseed\"\n    },\n    {\n      \"champion\": \"sophia thomas\",\n      \"third\": \"samantha jones\"\n    }\n  ]\n}", "idx": 31671}
{"context": "CREATE TABLE table_1912713_2 (\u65b9\u4f4d_direction VARCHAR, \u6027\u60c5_personality VARCHAR)", "sql_query": "select count(\u65b9\u4f4d_direction) from table_1912713_2 where \u6027\u60c5_personality = 'gentle'", "question": "What is the total number of gentle personalities?", "data_table": "{\n  \"table_1912713_2\": [\n    {\n      \"\u65b9\u4f4d_direction\": \"north\",\n      \"\u6027\u60c5_personality\": \"gentle\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"south\",\n      \"\u6027\u60c5_personality\": \"gentle\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"east\",\n      \"\u6027\u60c5_personality\": \"aggressive\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"west\",\n      \"\u6027\u60c5_personality\": \"aggressive\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"northeast\",\n      \"\u6027\u60c5_personality\": \"friendly\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"northwest\",\n      \"\u6027\u60c5_personality\": \"friendly\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"southeast\",\n      \"\u6027\u60c5_personality\": \"shy\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"southwest\",\n      \"\u6027\u60c5_personality\": \"shy\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"up\",\n      \"\u6027\u60c5_personality\": \"curious\"\n    },\n    {\n      \"\u65b9\u4f4d_direction\": \"down\",\n      \"\u6027\u60c5_personality\": \"curious\"\n    }\n  ]\n}", "idx": 31672}
{"context": "CREATE TABLE product (product_name VARCHAR)", "sql_query": "select distinct product_name from product order by product_name", "question": "List the names of all the distinct product names in alphabetical order?", "data_table": "{\n  \"product\": [\n    {\n      \"product_name\": \"iphone\"\n    },\n    {\n      \"product_name\": \"samsung galaxy\"\n    },\n    {\n      \"product_name\": \"google pixel\"\n    },\n    {\n      \"product_name\": \"oneplus\"\n    },\n    {\n      \"product_name\": \"lg g8\"\n    },\n    {\n      \"product_name\": \"sony xperia\"\n    },\n    {\n      \"product_name\": \"motorola moto\"\n    },\n    {\n      \"product_name\": \"nokia\"\n    },\n    {\n      \"product_name\": \"huawei p30\"\n    },\n    {\n      \"product_name\": \"xiaomi mi\"\n    }\n  ]\n}", "idx": 31673}
{"context": "CREATE TABLE table_14460085_3 (points VARCHAR, team VARCHAR)", "sql_query": "select count(points) from table_14460085_3 where team = 'san lorenzo'", "question": "How many points total for san lorenzo?", "data_table": "{\n  \"table_14460085_3\": [\n    {\n      \"points\": \"10\",\n      \"team\": \"san lorenzo\"\n    },\n    {\n      \"points\": \"8\",\n      \"team\": \"river plate\"\n    },\n    {\n      \"points\": \"12\",\n      \"team\": \"boca juniors\"\n    },\n    {\n      \"points\": \"6\",\n      \"team\": \"independiente\"\n    },\n    {\n      \"points\": \"9\",\n      \"team\": \"racing club\"\n    },\n    {\n      \"points\": \"7\",\n      \"team\": \"velez sarsfield\"\n    },\n    {\n      \"points\": \"11\",\n      \"team\": \"rosario central\"\n    },\n    {\n      \"points\": \"5\",\n      \"team\": \"estudiantes\"\n    },\n    {\n      \"points\": \"10\",\n      \"team\": \"argentinos juniors\"\n    },\n    {\n      \"points\": \"8\",\n      \"team\": \"lanus\"\n    }\n  ]\n}", "idx": 31675}
{"context": "CREATE TABLE table_name_51 (surface VARCHAR, date VARCHAR)", "sql_query": "select surface from table_name_51 where date = 'april 10, 2006'", "question": "Date of april 10, 2006 had what surface?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"surface\": \"grass\",\n      \"date\": \"april 10, 2006\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"date\": \"april 10, 2006\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"date\": \"april 10, 2006\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"date\": \"april 11, 2006\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"date\": \"april 11, 2006\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"date\": \"april 11, 2006\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"date\": \"april 12, 2006\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"date\": \"april 12, 2006\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"date\": \"april 12, 2006\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"date\": \"april 13, 2006\"\n    }\n  ]\n}", "idx": 31676}
{"context": "CREATE TABLE table_name_58 (surface VARCHAR, score VARCHAR)", "sql_query": "select surface from table_name_58 where score = '7\u20135, 3\u20136, 7\u20136'", "question": "What was the surface of the score of 7\u20135, 3\u20136, 7\u20136?", "data_table": "{\n  \"table_name_58\": [\n    {\n      \"surface\": \"grass\",\n      \"score\": \"7\u20135, 3\u20136, 7\u20136\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"6\u20134, 6\u20137, 7\u20135\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"6\u20133, 4\u20136, 6\u20132\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"6\u20132, 6\u20134\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"7\u20136, 6\u20137, 7\u20135\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"7\u20135, 6\u20137, 6\u20134\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"6\u20134, 6\u20133\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"score\": \"6\u20133, 6\u20137, 7\u20136\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"score\": \"6\u20132, 6\u20133\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"score\": \"7\u20136, 6\u20137, 7\u20135\"\n    }\n  ]\n}", "idx": 31677}
{"context": "CREATE TABLE table_name_78 (played VARCHAR, points_against VARCHAR)", "sql_query": "select played from table_name_78 where points_against = '179'", "question": "What is the played number when the points against is 179?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"played\": \"yes\",\n      \"points_against\": \"179\"\n    },\n    {\n      \"played\": \"no\",\n      \"points_against\": \"150\"\n    },\n    {\n      \"played\": \"yes\",\n      \"points_against\": \"200\"\n    },\n    {\n      \"played\": \"no\",\n      \"points_against\": \"179\"\n    },\n    {\n      \"played\": \"yes\",\n      \"points_against\": \"160\"\n    },\n    {\n      \"played\": \"no\",\n      \"points_against\": \"190\"\n    },\n    {\n      \"played\": \"yes\",\n      \"points_against\": \"179\"\n    },\n    {\n      \"played\": \"no\",\n      \"points_against\": \"170\"\n    },\n    {\n      \"played\": \"yes\",\n      \"points_against\": \"179\"\n    },\n    {\n      \"played\": \"no\",\n      \"points_against\": \"180\"\n    }\n  ]\n}", "idx": 31678}
{"context": "CREATE TABLE table_name_24 (casualties VARCHAR, location VARCHAR, circumstances VARCHAR)", "sql_query": "select casualties from table_name_24 where location = 'kunduz' and circumstances = 'suicide'", "question": "Which Casualties have a Location of kunduz, and Circumstances of suicide?", "data_table": "{\n  \"table_name_24\": [\n    {\n      \"casualties\": \"5\",\n      \"location\": \"kunduz\",\n      \"circumstances\": \"suicide\"\n    },\n    {\n      \"casualties\": \"3\",\n      \"location\": \"kabul\",\n      \"circumstances\": \"bombing\"\n    },\n    {\n      \"casualties\": \"2\",\n      \"location\": \"herat\",\n      \"circumstances\": \"shooting\"\n    },\n    {\n      \"casualties\": \"7\",\n      \"location\": \"kandahar\",\n      \"circumstances\": \"explosion\"\n    },\n    {\n      \"casualties\": \"4\",\n      \"location\": \"kunduz\",\n      \"circumstances\": \"ambush\"\n    },\n    {\n      \"casualties\": \"1\",\n      \"location\": \"kabul\",\n      \"circumstances\": \"kidnapping\"\n    },\n    {\n      \"casualties\": \"6\",\n      \"location\": \"herat\",\n      \"circumstances\": \"assault\"\n    },\n    {\n      \"casualties\": \"2\",\n      \"location\": \"kandahar\",\n      \"circumstances\": \"raid\"\n    },\n    {\n      \"casualties\": \"3\",\n      \"location\": \"kunduz\",\n      \"circumstances\": \"bombing\"\n    },\n    {\n      \"casualties\": \"4\",\n      \"location\": \"kabul\",\n      \"circumstances\": \"shooting\"\n    }\n  ]\n}", "idx": 31680}
{"context": "CREATE TABLE has_amenity (dormid VARCHAR, amenid VARCHAR); CREATE TABLE student (fname VARCHAR, age VARCHAR, stuid VARCHAR); CREATE TABLE lives_in (stuid VARCHAR, dormid VARCHAR); CREATE TABLE dorm_amenity (amenid VARCHAR, amenity_name VARCHAR)", "sql_query": "select t1.fname, t1.age from student as t1 join lives_in as t2 on t1.stuid = t2.stuid where not t2.dormid in (select t3.dormid from has_amenity as t3 join dorm_amenity as t4 on t3.amenid = t4.amenid where t4.amenity_name = 'tv lounge')", "question": "Find the first name and age of students who are living in the dorms that do not have amenity TV Lounge.", "data_table": "{\n  \"has_amenity\": [\n    {\n      \"dormid\": \"d001\",\n      \"amenid\": \"a001\"\n    },\n    {\n      \"dormid\": \"d002\",\n      \"amenid\": \"a002\"\n    },\n    {\n      \"dormid\": \"d003\",\n      \"amenid\": \"a003\"\n    },\n    {\n      \"dormid\": \"d004\",\n      \"amenid\": \"a004\"\n    },\n    {\n      \"dormid\": \"d005\",\n      \"amenid\": \"a005\"\n    },\n    {\n      \"dormid\": \"d006\",\n      \"amenid\": \"a006\"\n    },\n    {\n      \"dormid\": \"d007\",\n      \"amenid\": \"a007\"\n    },\n    {\n      \"dormid\": \"d008\",\n      \"amenid\": \"a008\"\n    },\n    {\n      \"dormid\": \"d009\",\n      \"amenid\": \"a009\"\n    },\n    {\n      \"dormid\": \"d010\",\n      \"amenid\": \"a010\"\n    }\n  ],\n  \"student\": [\n    {\n      \"fname\": \"john\",\n      \"age\": \"20\",\n      \"stuid\": \"s001\"\n    },\n    {\n      \"fname\": \"emily\",\n      \"age\": \"19\",\n      \"stuid\": \"s002\"\n    },\n    {\n      \"fname\": \"michael\",\n      \"age\": \"21\",\n      \"stuid\": \"s003\"\n    },\n    {\n      \"fname\": \"sophia\",\n      \"age\": \"18\",\n      \"stuid\": \"s004\"\n    },\n    {\n      \"fname\": \"daniel\",\n      \"age\": \"20\",\n      \"stuid\": \"s005\"\n    },\n    {\n      \"fname\": \"olivia\",\n      \"age\": \"19\",\n      \"stuid\": \"s006\"\n    },\n    {\n      \"fname\": \"matthew\",\n      \"age\": \"21\",\n      \"stuid\": \"s007\"\n    },\n    {\n      \"fname\": \"ava\",\n      \"age\": \"18\",\n      \"stuid\": \"s008\"\n    },\n    {\n      \"fname\": \"david\",\n      \"age\": \"20\",\n      \"stuid\": \"s009\"\n    },\n    {\n      \"fname\": \"emma\",\n      \"age\": \"19\",\n      \"stuid\": \"s010\"\n    }\n  ],\n  \"lives_in\": [\n    {\n      \"stuid\": \"s001\",\n      \"dormid\": \"d001\"\n    },\n    {\n      \"stuid\": \"s002\",\n      \"dormid\": \"d002\"\n    },\n    {\n      \"stuid\": \"s003\",\n      \"dormid\": \"d003\"\n    },\n    {\n      \"stuid\": \"s004\",\n      \"dormid\": \"d004\"\n    },\n    {\n      \"stuid\": \"s005\",\n      \"dormid\": \"d005\"\n    },\n    {\n      \"stuid\": \"s006\",\n      \"dormid\": \"d006\"\n    },\n    {\n      \"stuid\": \"s007\",\n      \"dormid\": \"d007\"\n    },\n    {\n      \"stuid\": \"s008\",\n      \"dormid\": \"d008\"\n    },\n    {\n      \"stuid\": \"s009\",\n      \"dormid\": \"d009\"\n    },\n    {\n      \"stuid\": \"s010\",\n      \"dormid\": \"d010\"\n    }\n  ],\n  \"dorm_amenity\": [\n    {\n      \"amenid\": \"a001\",\n      \"amenity_name\": \"gym\"\n    },\n    {\n      \"amenid\": \"a002\",\n      \"amenity_name\": \"study room\"\n    },\n    {\n      \"amenid\": \"a003\",\n      \"amenity_name\": \"laundry\"\n    },\n    {\n      \"amenid\": \"a004\",\n      \"amenity_name\": \"pool\"\n    },\n    {\n      \"amenid\": \"a005\",\n      \"amenity_name\": \"parking\"\n    },\n    {\n      \"amenid\": \"a006\",\n      \"amenity_name\": \"game room\"\n    },\n    {\n      \"amenid\": \"a007\",\n      \"amenity_name\": \"coffee shop\"\n    },\n    {\n      \"amenid\": \"a008\",\n      \"amenity_name\": \"library\"\n    },\n    {\n      \"amenid\": \"a009\",\n      \"amenity_name\": \"fitness center\"\n    },\n    {\n      \"amenid\": \"a010\",\n      \"amenity_name\": \"rooftop terrace\"\n    }\n  ]\n}", "idx": 31682}
{"context": "CREATE TABLE table_2159537_3 (district VARCHAR, date_successor_seated VARCHAR)", "sql_query": "select district from table_2159537_3 where date_successor_seated = 'august 31, 1943'", "question": "In what district was the successor seated August 31, 1943?", "data_table": "{\n  \"table_2159537_3\": [\n    {\n      \"district\": \"district a\",\n      \"date_successor_seated\": \"august 31, 1943\"\n    },\n    {\n      \"district\": \"district b\",\n      \"date_successor_seated\": \"september 15, 1955\"\n    },\n    {\n      \"district\": \"district c\",\n      \"date_successor_seated\": \"july 10, 1968\"\n    },\n    {\n      \"district\": \"district d\",\n      \"date_successor_seated\": \"august 31, 1943\"\n    },\n    {\n      \"district\": \"district e\",\n      \"date_successor_seated\": \"november 22, 1975\"\n    },\n    {\n      \"district\": \"district f\",\n      \"date_successor_seated\": \"august 31, 1943\"\n    },\n    {\n      \"district\": \"district g\",\n      \"date_successor_seated\": \"october 5, 1982\"\n    },\n    {\n      \"district\": \"district h\",\n      \"date_successor_seated\": \"august 31, 1943\"\n    },\n    {\n      \"district\": \"district i\",\n      \"date_successor_seated\": \"december 17, 1990\"\n    },\n    {\n      \"district\": \"district j\",\n      \"date_successor_seated\": \"august 31, 1943\"\n    }\n  ]\n}", "idx": 31683}
{"context": "CREATE TABLE table_name_46 (date VARCHAR, score VARCHAR)", "sql_query": "select date from table_name_46 where score = '71-64'", "question": "WHAT DATE HAD A SCORE OF 71-64?", "data_table": "{\n  \"table_name_46\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"score\": \"71-64\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"score\": \"80-75\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"score\": \"71-64\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"score\": \"85-79\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"score\": \"71-64\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"score\": \"90-82\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"score\": \"71-64\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"score\": \"95-88\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"score\": \"71-64\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"score\": \"100-93\"\n    }\n  ]\n}", "idx": 31684}
{"context": "CREATE TABLE table_name_60 (lms_spr VARCHAR, car_no VARCHAR)", "sql_query": "select lms_spr from table_name_60 where car_no = '15'", "question": "Which is the LMS SPR when the car number was 15?", "data_table": "{\n  \"table_name_60\": [\n    {\n      \"lms_spr\": \"abc\",\n      \"car_no\": \"15\"\n    },\n    {\n      \"lms_spr\": \"def\",\n      \"car_no\": \"20\"\n    },\n    {\n      \"lms_spr\": \"ghi\",\n      \"car_no\": \"15\"\n    },\n    {\n      \"lms_spr\": \"jkl\",\n      \"car_no\": \"25\"\n    },\n    {\n      \"lms_spr\": \"mno\",\n      \"car_no\": \"15\"\n    },\n    {\n      \"lms_spr\": \"pqr\",\n      \"car_no\": \"30\"\n    },\n    {\n      \"lms_spr\": \"stu\",\n      \"car_no\": \"15\"\n    },\n    {\n      \"lms_spr\": \"vwx\",\n      \"car_no\": \"35\"\n    },\n    {\n      \"lms_spr\": \"yz\",\n      \"car_no\": \"15\"\n    },\n    {\n      \"lms_spr\": \"123\",\n      \"car_no\": \"40\"\n    }\n  ]\n}", "idx": 31685}
{"context": "CREATE TABLE table_name_50 (rounds VARCHAR, tyre VARCHAR, engine_\u2020 VARCHAR)", "sql_query": "select rounds from table_name_50 where tyre = 'b' and engine_\u2020 = 'ferrari 053'", "question": "What are the rounds for the B tyres and Ferrari 053 engine +?", "data_table": "{\n  \"table_name_50\": [\n    {\n      \"rounds\": \"1\",\n      \"tyre\": \"a\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"2\",\n      \"tyre\": \"b\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"3\",\n      \"tyre\": \"c\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"4\",\n      \"tyre\": \"d\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"5\",\n      \"tyre\": \"e\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"6\",\n      \"tyre\": \"f\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"7\",\n      \"tyre\": \"g\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"8\",\n      \"tyre\": \"h\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"9\",\n      \"tyre\": \"i\",\n      \"engine_\u2020\": \"ferrari 053\"\n    },\n    {\n      \"rounds\": \"10\",\n      \"tyre\": \"j\",\n      \"engine_\u2020\": \"ferrari 053\"\n    }\n  ]\n}", "idx": 31686}
{"context": "CREATE TABLE table_name_16 (film_title_used_in_nomination VARCHAR, country VARCHAR)", "sql_query": "select film_title_used_in_nomination from table_name_16 where country = 'sweden'", "question": "What was the film title nominated from the Sweden?", "data_table": "{\n  \"table_name_16\": [\n    {\n      \"film_title_used_in_nomination\": \"the girl with the dragon tattoo\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"let the right one in\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"a man called ove\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"the square\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"the hundred-year-old man who climbed out the window and disappeared\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"force majeure\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"the seventh seal\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"fanny and alexander\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"everlasting moments\",\n      \"country\": \"sweden\"\n    },\n    {\n      \"film_title_used_in_nomination\": \"as it is in heaven\",\n      \"country\": \"sweden\"\n    }\n  ]\n}", "idx": 31687}
{"context": "CREATE TABLE table_14835674_1 (introductory_phrase VARCHAR, guest VARCHAR)", "sql_query": "select introductory_phrase from table_14835674_1 where guest = 'neil shubin'", "question": "What was the inroductory phase for the episode with neil shubin as a guest?", "data_table": "{\n  \"table_14835674_1\": [\n    {\n      \"introductory_phrase\": \"welcome\",\n      \"guest\": \"neil shubin\"\n    },\n    {\n      \"introductory_phrase\": \"hello\",\n      \"guest\": \"jane doe\"\n    },\n    {\n      \"introductory_phrase\": \"greetings\",\n      \"guest\": \"john smith\"\n    },\n    {\n      \"introductory_phrase\": \"hi\",\n      \"guest\": \"alice johnson\"\n    },\n    {\n      \"introductory_phrase\": \"good day\",\n      \"guest\": \"robert brown\"\n    },\n    {\n      \"introductory_phrase\": \"salutations\",\n      \"guest\": \"emily davis\"\n    },\n    {\n      \"introductory_phrase\": \"hey there\",\n      \"guest\": \"michael wilson\"\n    },\n    {\n      \"introductory_phrase\": \"howdy\",\n      \"guest\": \"sarah thompson\"\n    },\n    {\n      \"introductory_phrase\": \"nice to meet you\",\n      \"guest\": \"david anderson\"\n    },\n    {\n      \"introductory_phrase\": \"pleased to see you\",\n      \"guest\": \"olivia martinez\"\n    }\n  ]\n}", "idx": 31689}
{"context": "CREATE TABLE table_name_2 (reign_ended VARCHAR, length VARCHAR, country VARCHAR)", "sql_query": "select reign_ended from table_name_2 where length = '3 days' and country = 'afghanistan'", "question": "Whose reign ended in Afghanistan after 3 days?", "data_table": "{\n  \"table_name_2\": [\n    {\n      \"reign_ended\": \"2020-01-01\",\n      \"length\": \"3 days\",\n      \"country\": \"afghanistan\"\n    },\n    {\n      \"reign_ended\": \"2019-05-15\",\n      \"length\": \"5 months\",\n      \"country\": \"afghanistan\"\n    },\n    {\n      \"reign_ended\": \"2018-09-30\",\n      \"length\": \"1 year\",\n      \"country\": \"afghanistan\"\n    },\n    {\n      \"reign_ended\": \"2017-07-10\",\n      \"length\": \"2 weeks\",\n      \"country\": \"afghanistan\"\n    },\n    {\n      \"reign_ended\": \"2016-12-25\",\n      \"length\": \"4 days\",\n      \"country\": \"afghanistan\"\n    },\n    {\n      \"reign_ended\": \"2020-02-28\",\n      \"length\": \"2 months\",\n      \"country\": \"brazil\"\n    },\n    {\n      \"reign_ended\": \"2019-11-11\",\n      \"length\": \"1 week\",\n      \"country\": \"brazil\"\n    },\n    {\n      \"reign_ended\": \"2018-06-20\",\n      \"length\": \"3 years\",\n      \"country\": \"brazil\"\n    },\n    {\n      \"reign_ended\": \"2017-04-05\",\n      \"length\": \"2 days\",\n      \"country\": \"brazil\"\n    },\n    {\n      \"reign_ended\": \"2016-09-15\",\n      \"length\": \"6 months\",\n      \"country\": \"brazil\"\n    }\n  ]\n}", "idx": 31690}
{"context": "CREATE TABLE table_name_5 (rider VARCHAR, manufacturer VARCHAR, grid VARCHAR)", "sql_query": "select rider from table_name_5 where manufacturer = 'ktm' and grid = '1'", "question": "Who is the driver of the car manufactured by ktm, who started in grid 1.", "data_table": "{\n  \"table_name_5\": [\n    {\n      \"rider\": \"john\",\n      \"manufacturer\": \"ktm\",\n      \"grid\": \"1\"\n    },\n    {\n      \"rider\": \"mike\",\n      \"manufacturer\": \"ktm\",\n      \"grid\": \"2\"\n    },\n    {\n      \"rider\": \"sarah\",\n      \"manufacturer\": \"honda\",\n      \"grid\": \"1\"\n    },\n    {\n      \"rider\": \"tom\",\n      \"manufacturer\": \"honda\",\n      \"grid\": \"2\"\n    },\n    {\n      \"rider\": \"emily\",\n      \"manufacturer\": \"yamaha\",\n      \"grid\": \"1\"\n    },\n    {\n      \"rider\": \"alex\",\n      \"manufacturer\": \"yamaha\",\n      \"grid\": \"2\"\n    },\n    {\n      \"rider\": \"chris\",\n      \"manufacturer\": \"suzuki\",\n      \"grid\": \"1\"\n    },\n    {\n      \"rider\": \"jessica\",\n      \"manufacturer\": \"suzuki\",\n      \"grid\": \"2\"\n    },\n    {\n      \"rider\": \"david\",\n      \"manufacturer\": \"kawasaki\",\n      \"grid\": \"1\"\n    },\n    {\n      \"rider\": \"emma\",\n      \"manufacturer\": \"kawasaki\",\n      \"grid\": \"2\"\n    }\n  ]\n}", "idx": 31691}
{"context": "CREATE TABLE table_name_68 (date VARCHAR, record VARCHAR)", "sql_query": "select date from table_name_68 where record = '2\u20131\u20131'", "question": "What is the Date with a game with a Record of 2\u20131\u20131?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"record\": \"2\u20131\u20131\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"record\": \"2\u20131\u20131\"\n    }\n  ]\n}", "idx": 31693}
{"context": "CREATE TABLE table_name_1 (partial_thromboplastin_time VARCHAR, condition VARCHAR, prothrombin_time VARCHAR, bleeding_time VARCHAR)", "sql_query": "select partial_thromboplastin_time from table_name_1 where prothrombin_time = 'prolonged' and bleeding_time = 'unaffected' and condition = 'vitamin k deficiency or warfarin'", "question": "Which Partial thromboplastin time has a Prothrombin time of prolonged, and a Bleeding time of unaffected, and a Condition of vitamin k deficiency or warfarin? Question 6", "data_table": "{\n  \"table_name_1\": [\n    {\n      \"partial_thromboplastin_time\": \"normal\",\n      \"condition\": \"vitamin k deficiency or warfarin\",\n      \"prothrombin_time\": \"prolonged\",\n      \"bleeding_time\": \"unaffected\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"prolonged\",\n      \"condition\": \"vitamin k deficiency or warfarin\",\n      \"prothrombin_time\": \"prolonged\",\n      \"bleeding_time\": \"unaffected\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"prolonged\",\n      \"condition\": \"hemophilia\",\n      \"prothrombin_time\": \"normal\",\n      \"bleeding_time\": \"prolonged\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"normal\",\n      \"condition\": \"hemophilia\",\n      \"prothrombin_time\": \"normal\",\n      \"bleeding_time\": \"prolonged\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"prolonged\",\n      \"condition\": \"vitamin k deficiency or warfarin\",\n      \"prothrombin_time\": \"normal\",\n      \"bleeding_time\": \"unaffected\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"normal\",\n      \"condition\": \"hemophilia\",\n      \"prothrombin_time\": \"prolonged\",\n      \"bleeding_time\": \"prolonged\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"prolonged\",\n      \"condition\": \"vitamin k deficiency or warfarin\",\n      \"prothrombin_time\": \"prolonged\",\n      \"bleeding_time\": \"prolonged\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"normal\",\n      \"condition\": \"vitamin k deficiency or warfarin\",\n      \"prothrombin_time\": \"normal\",\n      \"bleeding_time\": \"unaffected\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"prolonged\",\n      \"condition\": \"hemophilia\",\n      \"prothrombin_time\": \"prolonged\",\n      \"bleeding_time\": \"unaffected\"\n    },\n    {\n      \"partial_thromboplastin_time\": \"normal\",\n      \"condition\": \"vitamin k deficiency or warfarin\",\n      \"prothrombin_time\": \"normal\",\n      \"bleeding_time\": \"prolonged\"\n    }\n  ]\n}", "idx": 31694}
{"context": "CREATE TABLE table_12419515_4 (directed_by VARCHAR, written_by VARCHAR)", "sql_query": "select directed_by from table_12419515_4 where written_by = 'adam milch'", "question": "Who directed the title that was written by Adam Milch?", "data_table": "{\n  \"table_12419515_4\": [\n    {\n      \"directed_by\": \"john smith\",\n      \"written_by\": \"adam milch\"\n    },\n    {\n      \"directed_by\": \"jane doe\",\n      \"written_by\": \"adam milch\"\n    },\n    {\n      \"directed_by\": \"michael johnson\",\n      \"written_by\": \"john smith\"\n    },\n    {\n      \"directed_by\": \"sarah thompson\",\n      \"written_by\": \"jane doe\"\n    },\n    {\n      \"directed_by\": \"david brown\",\n      \"written_by\": \"michael johnson\"\n    },\n    {\n      \"directed_by\": \"emily wilson\",\n      \"written_by\": \"sarah thompson\"\n    },\n    {\n      \"directed_by\": \"robert davis\",\n      \"written_by\": \"david brown\"\n    },\n    {\n      \"directed_by\": \"jessica lee\",\n      \"written_by\": \"emily wilson\"\n    },\n    {\n      \"directed_by\": \"daniel harris\",\n      \"written_by\": \"robert davis\"\n    },\n    {\n      \"directed_by\": \"olivia taylor\",\n      \"written_by\": \"jessica lee\"\n    }\n  ]\n}", "idx": 31695}
{"context": "CREATE TABLE table_26423157_2 (conference VARCHAR, school VARCHAR)", "sql_query": "select conference from table_26423157_2 where school = 'tennessee'", "question": "What conference is Tennessee?", "data_table": "{\n  \"table_26423157_2\": [\n    {\n      \"conference\": \"acc\",\n      \"school\": \"duke\"\n    },\n    {\n      \"conference\": \"sec\",\n      \"school\": \"tennessee\"\n    },\n    {\n      \"conference\": \"big ten\",\n      \"school\": \"michigan\"\n    },\n    {\n      \"conference\": \"pac-12\",\n      \"school\": \"oregon\"\n    },\n    {\n      \"conference\": \"big 12\",\n      \"school\": \"texas\"\n    },\n    {\n      \"conference\": \"acc\",\n      \"school\": \"north carolina\"\n    },\n    {\n      \"conference\": \"sec\",\n      \"school\": \"alabama\"\n    },\n    {\n      \"conference\": \"big ten\",\n      \"school\": \"ohio state\"\n    },\n    {\n      \"conference\": \"pac-12\",\n      \"school\": \"usc\"\n    },\n    {\n      \"conference\": \"big 12\",\n      \"school\": \"oklahoma\"\n    }\n  ]\n}", "idx": 31696}
{"context": "CREATE TABLE table_name_32 (attendance VARCHAR, result VARCHAR)", "sql_query": "select attendance from table_name_32 where result = 'l 41-37'", "question": "What is the attendance number when the result is l 41-37?", "data_table": "{\n  \"table_name_32\": [\n    {\n      \"attendance\": \"1000\",\n      \"result\": \"l 41-37\"\n    },\n    {\n      \"attendance\": \"500\",\n      \"result\": \"w 20-15\"\n    },\n    {\n      \"attendance\": \"2000\",\n      \"result\": \"l 35-40\"\n    },\n    {\n      \"attendance\": \"1500\",\n      \"result\": \"w 30-25\"\n    },\n    {\n      \"attendance\": \"800\",\n      \"result\": \"l 38-42\"\n    },\n    {\n      \"attendance\": \"1200\",\n      \"result\": \"w 22-18\"\n    },\n    {\n      \"attendance\": \"1800\",\n      \"result\": \"l 39-45\"\n    },\n    {\n      \"attendance\": \"700\",\n      \"result\": \"w 28-23\"\n    },\n    {\n      \"attendance\": \"900\",\n      \"result\": \"l 43-47\"\n    },\n    {\n      \"attendance\": \"1100\",\n      \"result\": \"w 25-20\"\n    }\n  ]\n}", "idx": 31697}
{"context": "CREATE TABLE table_name_96 (crowd VARCHAR, away_team VARCHAR)", "sql_query": "select count(crowd) from table_name_96 where away_team = 'fitzroy'", "question": "What is the crowd size of the game when Fitzroy is the away team?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"crowd\": \"5000\",\n      \"away_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"10000\",\n      \"away_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"8000\",\n      \"away_team\": \"collingwood\"\n    },\n    {\n      \"crowd\": \"6000\",\n      \"away_team\": \"essendon\"\n    },\n    {\n      \"crowd\": \"7000\",\n      \"away_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"9000\",\n      \"away_team\": \"hawthorn\"\n    },\n    {\n      \"crowd\": \"4000\",\n      \"away_team\": \"fitzroy\"\n    },\n    {\n      \"crowd\": \"12000\",\n      \"away_team\": \"collingwood\"\n    },\n    {\n      \"crowd\": \"3000\",\n      \"away_team\": \"essendon\"\n    },\n    {\n      \"crowd\": \"11000\",\n      \"away_team\": \"fitzroy\"\n    }\n  ]\n}", "idx": 31699}
{"context": "CREATE TABLE table_name_75 (score VARCHAR, opponents VARCHAR)", "sql_query": "select score from table_name_75 where opponents = 'luk\u00e1\u0161 dlouh\u00fd leander paes'", "question": "What was the score for the opponent luk\u00e1\u0161 dlouh\u00fd leander paes?", "data_table": "{\n  \"table_name_75\": [\n    {\n      \"score\": \"6-4, 6-2\",\n      \"opponents\": \"luk\u00e1\u0161 dlouh\u00fd leander paes\"\n    },\n    {\n      \"score\": \"7-6, 6-3\",\n      \"opponents\": \"rafael nadal roger federer\"\n    },\n    {\n      \"score\": \"6-3, 6-4\",\n      \"opponents\": \"novak djokovic andy murray\"\n    },\n    {\n      \"score\": \"6-2, 6-1\",\n      \"opponents\": \"serena williams venus williams\"\n    },\n    {\n      \"score\": \"7-5, 6-7, 7-6\",\n      \"opponents\": \"maria sharapova simona halep\"\n    },\n    {\n      \"score\": \"6-4, 7-5\",\n      \"opponents\": \"roger federer stan wawrinka\"\n    },\n    {\n      \"score\": \"6-3, 6-2\",\n      \"opponents\": \"andy murray juan martin del potro\"\n    },\n    {\n      \"score\": \"6-1, 6-3\",\n      \"opponents\": \"naomi osaka ashleigh barty\"\n    },\n    {\n      \"score\": \"6-2, 6-4\",\n      \"opponents\": \"simona halep petra kvitova\"\n    },\n    {\n      \"score\": \"7-6, 6-4\",\n      \"opponents\": \"roger federer rafael nadal\"\n    }\n  ]\n}", "idx": 31700}
{"context": "CREATE TABLE table_26615633_3 (sweet VARCHAR, voice_actor VARCHAR)", "sql_query": "select sweet from table_26615633_3 where voice_actor = 'saki fujita'", "question": "what is the sweet for voice actor saki fujita?", "data_table": "{\n  \"table_26615633_3\": [\n    {\n      \"sweet\": \"chocolate\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"caramel\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"vanilla\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"strawberry\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"mint\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"butterscotch\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"honey\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"lemon\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"raspberry\",\n      \"voice_actor\": \"saki fujita\"\n    },\n    {\n      \"sweet\": \"coffee\",\n      \"voice_actor\": \"saki fujita\"\n    }\n  ]\n}", "idx": 31701}
{"context": "CREATE TABLE table_name_19 (place VARCHAR, country VARCHAR)", "sql_query": "select place from table_name_19 where country = 'japan'", "question": "Where did Japan place?", "data_table": "{\n  \"table_name_19\": [\n    {\n      \"place\": \"tokyo\",\n      \"country\": \"japan\"\n    },\n    {\n      \"place\": \"kyoto\",\n      \"country\": \"japan\"\n    },\n    {\n      \"place\": \"paris\",\n      \"country\": \"france\"\n    },\n    {\n      \"place\": \"london\",\n      \"country\": \"united kingdom\"\n    },\n    {\n      \"place\": \"new york\",\n      \"country\": \"united states\"\n    },\n    {\n      \"place\": \"sydney\",\n      \"country\": \"australia\"\n    },\n    {\n      \"place\": \"rome\",\n      \"country\": \"italy\"\n    },\n    {\n      \"place\": \"cairo\",\n      \"country\": \"egypt\"\n    },\n    {\n      \"place\": \"rio de janeiro\",\n      \"country\": \"brazil\"\n    },\n    {\n      \"place\": \"beijing\",\n      \"country\": \"china\"\n    }\n  ]\n}", "idx": 31703}
{"context": "CREATE TABLE table_name_67 (origin VARCHAR, registration VARCHAR)", "sql_query": "select origin from table_name_67 where registration = 's5-hpb'", "question": "What is the country of origin of the aircraft with a registration s5-hpb?", "data_table": "{\n  \"table_name_67\": [\n    {\n      \"origin\": \"usa\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"canada\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"germany\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"france\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"uk\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"japan\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"australia\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"brazil\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"china\",\n      \"registration\": \"s5-hpb\"\n    },\n    {\n      \"origin\": \"india\",\n      \"registration\": \"s5-hpb\"\n    }\n  ]\n}", "idx": 31704}
{"context": "CREATE TABLE table_20462111_1 (location VARCHAR, date VARCHAR)", "sql_query": "select location from table_20462111_1 where date = '07.02.2009'", "question": "Where was the cup on 07.02.2009 held?", "data_table": "{\n  \"table_20462111_1\": [\n    {\n      \"location\": \"new york\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"boston\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"miami\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"denver\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"houston\",\n      \"date\": \"07.02.2009\"\n    },\n    {\n      \"location\": \"phoenix\",\n      \"date\": \"07.02.2009\"\n    }\n  ]\n}", "idx": 31705}
{"context": "CREATE TABLE table_name_28 (name VARCHAR, prize VARCHAR)", "sql_query": "select name from table_name_28 where prize = '$2,434,061'", "question": "Who won the event with a top prize of $2,434,061?", "data_table": "{\n  \"table_name_28\": [\n    {\n      \"name\": \"john\",\n      \"prize\": \"$2,434,061\"\n    },\n    {\n      \"name\": \"emily\",\n      \"prize\": \"$1,234,567\"\n    },\n    {\n      \"name\": \"michael\",\n      \"prize\": \"$2,434,061\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"prize\": \"$3,456,789\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"prize\": \"$2,434,061\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"prize\": \"$5,678,901\"\n    },\n    {\n      \"name\": \"william\",\n      \"prize\": \"$2,434,061\"\n    },\n    {\n      \"name\": \"ava\",\n      \"prize\": \"$9,876,543\"\n    },\n    {\n      \"name\": \"james\",\n      \"prize\": \"$2,434,061\"\n    },\n    {\n      \"name\": \"isabella\",\n      \"prize\": \"$7,654,321\"\n    }\n  ]\n}", "idx": 31706}
{"context": "CREATE TABLE table_name_53 (opponent VARCHAR, loss VARCHAR)", "sql_query": "select opponent from table_name_53 where loss = 'trout (7-4)'", "question": "Which opponent has a loss of trout (7-4)?", "data_table": "{\n  \"table_name_53\": [\n    {\n      \"opponent\": \"john\",\n      \"loss\": \"trout (7-4)\"\n    },\n    {\n      \"opponent\": \"mike\",\n      \"loss\": \"trout (7-4)\"\n    },\n    {\n      \"opponent\": \"sarah\",\n      \"loss\": \"jones (5-3)\"\n    },\n    {\n      \"opponent\": \"emily\",\n      \"loss\": \"jones (5-3)\"\n    },\n    {\n      \"opponent\": \"david\",\n      \"loss\": \"smith (6-2)\"\n    },\n    {\n      \"opponent\": \"daniel\",\n      \"loss\": \"smith (6-2)\"\n    },\n    {\n      \"opponent\": \"amy\",\n      \"loss\": \"trout (7-4)\"\n    },\n    {\n      \"opponent\": \"chris\",\n      \"loss\": \"jones (5-3)\"\n    },\n    {\n      \"opponent\": \"jessica\",\n      \"loss\": \"smith (6-2)\"\n    },\n    {\n      \"opponent\": \"ryan\",\n      \"loss\": \"trout (7-4)\"\n    }\n  ]\n}", "idx": 31707}
{"context": "CREATE TABLE table_name_81 (show VARCHAR, date VARCHAR)", "sql_query": "select show from table_name_81 where date = '19 april'", "question": "Which show aired on 19 april?", "data_table": "{\n  \"table_name_81\": [\n    {\n      \"show\": \"game of thrones\",\n      \"date\": \"19 april\"\n    },\n    {\n      \"show\": \"breaking bad\",\n      \"date\": \"19 april\"\n    },\n    {\n      \"show\": \"stranger things\",\n      \"date\": \"20 april\"\n    },\n    {\n      \"show\": \"friends\",\n      \"date\": \"20 april\"\n    },\n    {\n      \"show\": \"the office\",\n      \"date\": \"21 april\"\n    },\n    {\n      \"show\": \"sherlock\",\n      \"date\": \"21 april\"\n    },\n    {\n      \"show\": \"black mirror\",\n      \"date\": \"22 april\"\n    },\n    {\n      \"show\": \"the big bang theory\",\n      \"date\": \"22 april\"\n    },\n    {\n      \"show\": \"breaking bad\",\n      \"date\": \"23 april\"\n    },\n    {\n      \"show\": \"stranger things\",\n      \"date\": \"23 april\"\n    }\n  ]\n}", "idx": 31708}
{"context": "CREATE TABLE table_name_38 (_number_of_bids INTEGER, win__percentage VARCHAR)", "sql_query": "select min(_number_of_bids) from table_name_38 where win__percentage = '.667'", "question": "Tell me the lowest # of bids for win percent of .667", "data_table": "{\n  \"table_name_38\": [\n    {\n      \"_number_of_bids\": 5,\n      \"win__percentage\": \".667\"\n    },\n    {\n      \"_number_of_bids\": 8,\n      \"win__percentage\": \".333\"\n    },\n    {\n      \"_number_of_bids\": 3,\n      \"win__percentage\": \".667\"\n    },\n    {\n      \"_number_of_bids\": 10,\n      \"win__percentage\": \".500\"\n    },\n    {\n      \"_number_of_bids\": 7,\n      \"win__percentage\": \".667\"\n    },\n    {\n      \"_number_of_bids\": 2,\n      \"win__percentage\": \".333\"\n    },\n    {\n      \"_number_of_bids\": 6,\n      \"win__percentage\": \".500\"\n    },\n    {\n      \"_number_of_bids\": 4,\n      \"win__percentage\": \".333\"\n    },\n    {\n      \"_number_of_bids\": 9,\n      \"win__percentage\": \".500\"\n    },\n    {\n      \"_number_of_bids\": 1,\n      \"win__percentage\": \".667\"\n    }\n  ]\n}", "idx": 31709}
{"context": "CREATE TABLE table_23429629_4 (act VARCHAR, place_came VARCHAR)", "sql_query": "select act from table_23429629_4 where place_came = '1st place (won the series)'", "question": "During the 1st Place (Won the Series), who was the act?", "data_table": "{\n  \"table_23429629_4\": [\n    {\n      \"act\": \"act 1\",\n      \"place_came\": \"1st place (won the series)\"\n    },\n    {\n      \"act\": \"act 2\",\n      \"place_came\": \"2nd place (runner-up)\"\n    },\n    {\n      \"act\": \"act 3\",\n      \"place_came\": \"3rd place (third position)\"\n    },\n    {\n      \"act\": \"act 4\",\n      \"place_came\": \"4th place\"\n    },\n    {\n      \"act\": \"act 5\",\n      \"place_came\": \"5th place\"\n    },\n    {\n      \"act\": \"act 6\",\n      \"place_came\": \"6th place\"\n    },\n    {\n      \"act\": \"act 7\",\n      \"place_came\": \"7th place\"\n    },\n    {\n      \"act\": \"act 8\",\n      \"place_came\": \"8th place\"\n    },\n    {\n      \"act\": \"act 9\",\n      \"place_came\": \"9th place\"\n    },\n    {\n      \"act\": \"act 10\",\n      \"place_came\": \"10th place\"\n    }\n  ]\n}", "idx": 31710}
{"context": "CREATE TABLE table_25505246_8 (round VARCHAR, against VARCHAR)", "sql_query": "select round from table_25505246_8 where against = 'south africa'", "question": "in what round types did the opponent come from south africa?", "data_table": "{\n  \"table_25505246_8\": [\n    {\n      \"round\": \"quarterfinals\",\n      \"against\": \"south africa\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"against\": \"new zealand\"\n    },\n    {\n      \"round\": \"finals\",\n      \"against\": \"england\"\n    },\n    {\n      \"round\": \"quarterfinals\",\n      \"against\": \"ireland\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"against\": \"australia\"\n    },\n    {\n      \"round\": \"quarterfinals\",\n      \"against\": \"wales\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"against\": \"france\"\n    },\n    {\n      \"round\": \"finals\",\n      \"against\": \"scotland\"\n    },\n    {\n      \"round\": \"quarterfinals\",\n      \"against\": \"argentina\"\n    },\n    {\n      \"round\": \"semifinals\",\n      \"against\": \"japan\"\n    }\n  ]\n}", "idx": 31711}
{"context": "CREATE TABLE table_13779832_1 (local_title VARCHAR, television_network VARCHAR)", "sql_query": "select count(local_title) from table_13779832_1 where television_network = 'tv nova website'", "question": " how many\u00a0local title\u00a0with\u00a0televbeingion network\u00a0being tv nova website", "data_table": "{\n  \"table_13779832_1\": [\n    {\n      \"local_title\": \"friends\",\n      \"television_network\": \"nbc\"\n    },\n    {\n      \"local_title\": \"the big bang theory\",\n      \"television_network\": \"cbs\"\n    },\n    {\n      \"local_title\": \"game of thrones\",\n      \"television_network\": \"hbo\"\n    },\n    {\n      \"local_title\": \"breaking bad\",\n      \"television_network\": \"amc\"\n    },\n    {\n      \"local_title\": \"stranger things\",\n      \"television_network\": \"netflix\"\n    },\n    {\n      \"local_title\": \"the walking dead\",\n      \"television_network\": \"amc\"\n    },\n    {\n      \"local_title\": \"grey's anatomy\",\n      \"television_network\": \"abc\"\n    },\n    {\n      \"local_title\": \"the office\",\n      \"television_network\": \"nbc\"\n    },\n    {\n      \"local_title\": \"sherlock\",\n      \"television_network\": \"bbc\"\n    },\n    {\n      \"local_title\": \"friends\",\n      \"television_network\": \"tbs\"\n    }\n  ]\n}", "idx": 31712}
{"context": "CREATE TABLE table_name_20 (current_code VARCHAR, type VARCHAR, years VARCHAR)", "sql_query": "select current_code from table_name_20 where type = 'club trophy' and years = '1867 only'", "question": "What is the current code for the club trophy, in 1867 only?", "data_table": "{\n  \"table_name_20\": [\n    {\n      \"current_code\": \"abc123\",\n      \"type\": \"club trophy\",\n      \"years\": \"1867 only\"\n    },\n    {\n      \"current_code\": \"def456\",\n      \"type\": \"league trophy\",\n      \"years\": \"1875-1880\"\n    },\n    {\n      \"current_code\": \"ghi789\",\n      \"type\": \"club trophy\",\n      \"years\": \"1892 only\"\n    },\n    {\n      \"current_code\": \"jkl012\",\n      \"type\": \"league trophy\",\n      \"years\": \"1901-1905\"\n    },\n    {\n      \"current_code\": \"mno345\",\n      \"type\": \"club trophy\",\n      \"years\": \"1910 only\"\n    },\n    {\n      \"current_code\": \"pqr678\",\n      \"type\": \"league trophy\",\n      \"years\": \"1920-1925\"\n    },\n    {\n      \"current_code\": \"stu901\",\n      \"type\": \"club trophy\",\n      \"years\": \"1935 only\"\n    },\n    {\n      \"current_code\": \"vwx234\",\n      \"type\": \"league trophy\",\n      \"years\": \"1945-1950\"\n    },\n    {\n      \"current_code\": \"yza567\",\n      \"type\": \"club trophy\",\n      \"years\": \"1960 only\"\n    },\n    {\n      \"current_code\": \"bcd890\",\n      \"type\": \"league trophy\",\n      \"years\": \"1970-1975\"\n    }\n  ]\n}", "idx": 31713}
{"context": "CREATE TABLE table_28019988_5 (season__number INTEGER, us_viewers__million_ VARCHAR, written_by VARCHAR)", "sql_query": "select max(season__number) from table_28019988_5 where us_viewers__million_ = '2.31' and written_by = 'tom garrigus'", "question": "What episode number of the season was written by Tom Garrigus and had 2.31 million u.s. viewers?", "data_table": "{\n  \"table_28019988_5\": [\n    {\n      \"season__number\": 1,\n      \"us_viewers__million_\": \"2.31\",\n      \"written_by\": \"tom garrigus\"\n    },\n    {\n      \"season__number\": 2,\n      \"us_viewers__million_\": \"1.87\",\n      \"written_by\": \"john smith\"\n    },\n    {\n      \"season__number\": 3,\n      \"us_viewers__million_\": \"3.45\",\n      \"written_by\": \"mary johnson\"\n    },\n    {\n      \"season__number\": 4,\n      \"us_viewers__million_\": \"2.31\",\n      \"written_by\": \"tom garrigus\"\n    },\n    {\n      \"season__number\": 5,\n      \"us_viewers__million_\": \"2.75\",\n      \"written_by\": \"jane doe\"\n    },\n    {\n      \"season__number\": 6,\n      \"us_viewers__million_\": \"1.92\",\n      \"written_by\": \"michael brown\"\n    },\n    {\n      \"season__number\": 7,\n      \"us_viewers__million_\": \"2.31\",\n      \"written_by\": \"tom garrigus\"\n    },\n    {\n      \"season__number\": 8,\n      \"us_viewers__million_\": \"2.09\",\n      \"written_by\": \"sarah wilson\"\n    },\n    {\n      \"season__number\": 9,\n      \"us_viewers__million_\": \"2.31\",\n      \"written_by\": \"tom garrigus\"\n    },\n    {\n      \"season__number\": 10,\n      \"us_viewers__million_\": \"2.63\",\n      \"written_by\": \"alexander thompson\"\n    }\n  ]\n}", "idx": 31714}
{"context": "CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR)", "sql_query": "select customer_name from customers where payment_method = (select payment_method from customers group by payment_method order by count(*) desc limit 1)", "question": "What are the names of customers using the most popular payment method?", "data_table": "{\n  \"customers\": [\n    {\n      \"customer_name\": \"john doe\",\n      \"payment_method\": \"credit card\"\n    },\n    {\n      \"customer_name\": \"jane smith\",\n      \"payment_method\": \"paypal\"\n    },\n    {\n      \"customer_name\": \"michael johnson\",\n      \"payment_method\": \"credit card\"\n    },\n    {\n      \"customer_name\": \"emily davis\",\n      \"payment_method\": \"google pay\"\n    },\n    {\n      \"customer_name\": \"robert wilson\",\n      \"payment_method\": \"apple pay\"\n    },\n    {\n      \"customer_name\": \"sarah thompson\",\n      \"payment_method\": \"paypal\"\n    },\n    {\n      \"customer_name\": \"david anderson\",\n      \"payment_method\": \"credit card\"\n    },\n    {\n      \"customer_name\": \"olivia martinez\",\n      \"payment_method\": \"google pay\"\n    },\n    {\n      \"customer_name\": \"james taylor\",\n      \"payment_method\": \"apple pay\"\n    },\n    {\n      \"customer_name\": \"sophia hernandez\",\n      \"payment_method\": \"credit card\"\n    }\n  ]\n}", "idx": 31715}
{"context": "CREATE TABLE perpetrator (People_ID VARCHAR); CREATE TABLE people (Name VARCHAR, People_ID VARCHAR)", "sql_query": "select t1.name from people as t1 join perpetrator as t2 on t1.people_id = t2.people_id", "question": "What are the names of perpetrators?", "data_table": "{\n  \"perpetrator\": [\n    {\n      \"people_id\": \"p001\"\n    },\n    {\n      \"people_id\": \"p002\"\n    },\n    {\n      \"people_id\": \"p003\"\n    },\n    {\n      \"people_id\": \"p004\"\n    },\n    {\n      \"people_id\": \"p005\"\n    }\n  ],\n  \"people\": [\n    {\n      \"name\": \"john\",\n      \"people_id\": \"p001\"\n    },\n    {\n      \"name\": \"alice\",\n      \"people_id\": \"p002\"\n    },\n    {\n      \"name\": \"michael\",\n      \"people_id\": \"p003\"\n    },\n    {\n      \"name\": \"emily\",\n      \"people_id\": \"p004\"\n    },\n    {\n      \"name\": \"david\",\n      \"people_id\": \"p005\"\n    },\n    {\n      \"name\": \"sarah\",\n      \"people_id\": \"p006\"\n    },\n    {\n      \"name\": \"robert\",\n      \"people_id\": \"p007\"\n    },\n    {\n      \"name\": \"jessica\",\n      \"people_id\": \"p008\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"people_id\": \"p009\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"people_id\": \"p010\"\n    }\n  ]\n}", "idx": 31716}
{"context": "CREATE TABLE table_name_59 (opponent VARCHAR, method VARCHAR)", "sql_query": "select opponent from table_name_59 where method = 'decision'", "question": "Name the opponent with decision", "data_table": "{\n  \"table_name_59\": [\n    {\n      \"opponent\": \"john\",\n      \"method\": \"decision\"\n    },\n    {\n      \"opponent\": \"sarah\",\n      \"method\": \"submission\"\n    },\n    {\n      \"opponent\": \"michael\",\n      \"method\": \"knockout\"\n    },\n    {\n      \"opponent\": \"emily\",\n      \"method\": \"decision\"\n    },\n    {\n      \"opponent\": \"david\",\n      \"method\": \"submission\"\n    },\n    {\n      \"opponent\": \"jessica\",\n      \"method\": \"knockout\"\n    },\n    {\n      \"opponent\": \"daniel\",\n      \"method\": \"decision\"\n    },\n    {\n      \"opponent\": \"olivia\",\n      \"method\": \"submission\"\n    },\n    {\n      \"opponent\": \"matthew\",\n      \"method\": \"knockout\"\n    },\n    {\n      \"opponent\": \"sophia\",\n      \"method\": \"decision\"\n    }\n  ]\n}", "idx": 31717}
{"context": "CREATE TABLE table_name_99 (best VARCHAR, team VARCHAR, name VARCHAR)", "sql_query": "select best from table_name_99 where team = 'rocketsports racing' and name = 'alex tagliani'", "question": "What is Best, when Team is \"Rocketsports Racing\", and when Name is \"Alex Tagliani\"?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"best\": \"1st\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"alex tagliani\"\n    },\n    {\n      \"best\": \"2nd\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"scott pruett\"\n    },\n    {\n      \"best\": \"3rd\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"ryan dalziel\"\n    },\n    {\n      \"best\": \"4th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"paul tracy\"\n    },\n    {\n      \"best\": \"5th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"simon pagenaud\"\n    },\n    {\n      \"best\": \"6th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"justin wilson\"\n    },\n    {\n      \"best\": \"7th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"sebastien bourdais\"\n    },\n    {\n      \"best\": \"8th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"alexander rossi\"\n    },\n    {\n      \"best\": \"9th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"tony kanaan\"\n    },\n    {\n      \"best\": \"10th\",\n      \"team\": \"rocketsports racing\",\n      \"name\": \"helio castroneves\"\n    }\n  ]\n}", "idx": 31718}
{"context": "CREATE TABLE table_name_58 (round VARCHAR, player VARCHAR)", "sql_query": "select round from table_name_58 where player = 'jerry butler'", "question": "In which round was Jerry Butler chosen?", "data_table": "{\n  \"table_name_58\": [\n    {\n      \"round\": \"round 1\",\n      \"player\": \"jerry butler\"\n    },\n    {\n      \"round\": \"round 2\",\n      \"player\": \"jerry butler\"\n    },\n    {\n      \"round\": \"round 3\",\n      \"player\": \"jerry butler\"\n    },\n    {\n      \"round\": \"round 4\",\n      \"player\": \"jerry butler\"\n    },\n    {\n      \"round\": \"round 5\",\n      \"player\": \"jerry butler\"\n    },\n    {\n      \"round\": \"round 1\",\n      \"player\": \"tom smith\"\n    },\n    {\n      \"round\": \"round 2\",\n      \"player\": \"tom smith\"\n    },\n    {\n      \"round\": \"round 3\",\n      \"player\": \"tom smith\"\n    },\n    {\n      \"round\": \"round 4\",\n      \"player\": \"tom smith\"\n    },\n    {\n      \"round\": \"round 5\",\n      \"player\": \"tom smith\"\n    }\n  ]\n}", "idx": 31719}
{"context": "CREATE TABLE table_name_73 (country VARCHAR, date VARCHAR)", "sql_query": "select country from table_name_73 where date = 'april 11-april 21'", "question": "What country was the game played when it was played from April 11-April 21?", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"country\": \"usa\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"canada\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"mexico\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"germany\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"france\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"italy\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"spain\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"brazil\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"australia\",\n      \"date\": \"april 11-april 21\"\n    },\n    {\n      \"country\": \"japan\",\n      \"date\": \"april 11-april 21\"\n    }\n  ]\n}", "idx": 31720}
{"context": "CREATE TABLE table_name_76 (home VARCHAR, visitor VARCHAR)", "sql_query": "select home from table_name_76 where visitor = 'chicago'", "question": "Name the home with chicago visiting", "data_table": "{\n  \"table_name_76\": [\n    {\n      \"home\": \"new york\",\n      \"visitor\": \"chicago\"\n    },\n    {\n      \"home\": \"los angeles\",\n      \"visitor\": \"miami\"\n    },\n    {\n      \"home\": \"san francisco\",\n      \"visitor\": \"seattle\"\n    },\n    {\n      \"home\": \"boston\",\n      \"visitor\": \"houston\"\n    },\n    {\n      \"home\": \"denver\",\n      \"visitor\": \"dallas\"\n    },\n    {\n      \"home\": \"atlanta\",\n      \"visitor\": \"phoenix\"\n    },\n    {\n      \"home\": \"philadelphia\",\n      \"visitor\": \"las vegas\"\n    },\n    {\n      \"home\": \"washington\",\n      \"visitor\": \"san diego\"\n    },\n    {\n      \"home\": \"chicago\",\n      \"visitor\": \"new york\"\n    },\n    {\n      \"home\": \"seattle\",\n      \"visitor\": \"san francisco\"\n    }\n  ]\n}", "idx": 31721}
{"context": "CREATE TABLE table_1912276_2 (__500m VARCHAR, name VARCHAR)", "sql_query": "select __500m from table_1912276_2 where name = 'theo bos'", "question": "What is the -500 number for Theo Bos?", "data_table": "{\n  \"table_1912276_2\": [\n    {\n      \"__500m\": \"value1\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value2\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value3\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value4\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value5\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value6\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value7\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value8\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value9\",\n      \"name\": \"theo bos\"\n    },\n    {\n      \"__500m\": \"value10\",\n      \"name\": \"theo bos\"\n    }\n  ]\n}", "idx": 31722}
{"context": "CREATE TABLE table_22839669_1 (opponent_in_the_final VARCHAR, score_in_the_final VARCHAR)", "sql_query": "select opponent_in_the_final from table_22839669_1 where score_in_the_final = '3\u20136, 4\u20136, 7\u20135, 4\u20136'", "question": "Who is the opponent in the match with final score 3\u20136, 4\u20136, 7\u20135, 4\u20136?", "data_table": "{\n  \"table_22839669_1\": [\n    {\n      \"opponent_in_the_final\": \"roger federer\",\n      \"score_in_the_final\": \"3\u20136, 4\u20136, 7\u20135, 4\u20136\"\n    },\n    {\n      \"opponent_in_the_final\": \"rafael nadal\",\n      \"score_in_the_final\": \"6\u20134, 6\u20133, 6\u20137, 6\u20134\"\n    },\n    {\n      \"opponent_in_the_final\": \"novak djokovic\",\n      \"score_in_the_final\": \"6\u20133, 6\u20134, 6\u20132\"\n    },\n    {\n      \"opponent_in_the_final\": \"andy murray\",\n      \"score_in_the_final\": \"7\u20136, 6\u20137, 6\u20133, 6\u20134\"\n    },\n    {\n      \"opponent_in_the_final\": \"stan wawrinka\",\n      \"score_in_the_final\": \"4\u20136, 7\u20135, 6\u20133, 6\u20134\"\n    },\n    {\n      \"opponent_in_the_final\": \"juan martin del potro\",\n      \"score_in_the_final\": \"6\u20134, 7\u20136, 6\u20137, 6\u20133\"\n    },\n    {\n      \"opponent_in_the_final\": \"alexander zverev\",\n      \"score_in_the_final\": \"6\u20133, 6\u20134, 6\u20137, 6\u20134\"\n    },\n    {\n      \"opponent_in_the_final\": \"dominic thiem\",\n      \"score_in_the_final\": \"7\u20136, 6\u20137, 6\u20134, 6\u20133\"\n    },\n    {\n      \"opponent_in_the_final\": \"stefanos tsitsipas\",\n      \"score_in_the_final\": \"6\u20134, 6\u20133, 6\u20137, 6\u20134\"\n    },\n    {\n      \"opponent_in_the_final\": \"daniil medvedev\",\n      \"score_in_the_final\": \"6\u20133, 6\u20134, 6\u20137, 6\u20134\"\n    }\n  ]\n}", "idx": 31724}
{"context": "CREATE TABLE table_name_47 (rank VARCHAR, surname VARCHAR)", "sql_query": "select count(rank) from table_name_47 where surname = 'lindberg'", "question": "What did the Surname Lindberg rank?", "data_table": "{\n  \"table_name_47\": [\n    {\n      \"rank\": \"captain\",\n      \"surname\": \"smith\"\n    },\n    {\n      \"rank\": \"lieutenant\",\n      \"surname\": \"johnson\"\n    },\n    {\n      \"rank\": \"sergeant\",\n      \"surname\": \"brown\"\n    },\n    {\n      \"rank\": \"private\",\n      \"surname\": \"davis\"\n    },\n    {\n      \"rank\": \"major\",\n      \"surname\": \"wilson\"\n    },\n    {\n      \"rank\": \"colonel\",\n      \"surname\": \"taylor\"\n    },\n    {\n      \"rank\": \"captain\",\n      \"surname\": \"anderson\"\n    },\n    {\n      \"rank\": \"lieutenant\",\n      \"surname\": \"martinez\"\n    },\n    {\n      \"rank\": \"sergeant\",\n      \"surname\": \"clark\"\n    },\n    {\n      \"rank\": \"private\",\n      \"surname\": \"harris\"\n    }\n  ]\n}", "idx": 31725}
{"context": "CREATE TABLE table_2226817_4 (production_code VARCHAR, original_air_date VARCHAR)", "sql_query": "select production_code from table_2226817_4 where original_air_date = 'november 27, 1988'", "question": "Name the production code for november 27, 1988", "data_table": "{\n  \"table_2226817_4\": [\n    {\n      \"production_code\": \"abc123\",\n      \"original_air_date\": \"november 27, 1988\"\n    },\n    {\n      \"production_code\": \"def456\",\n      \"original_air_date\": \"december 15, 1992\"\n    },\n    {\n      \"production_code\": \"ghi789\",\n      \"original_air_date\": \"october 5, 2005\"\n    },\n    {\n      \"production_code\": \"jkl012\",\n      \"original_air_date\": \"november 27, 1988\"\n    },\n    {\n      \"production_code\": \"mno345\",\n      \"original_air_date\": \"april 2, 2010\"\n    },\n    {\n      \"production_code\": \"pqr678\",\n      \"original_air_date\": \"november 27, 1988\"\n    },\n    {\n      \"production_code\": \"stu901\",\n      \"original_air_date\": \"june 8, 1999\"\n    },\n    {\n      \"production_code\": \"vwx234\",\n      \"original_air_date\": \"november 27, 1988\"\n    },\n    {\n      \"production_code\": \"yza567\",\n      \"original_air_date\": \"september 20, 2015\"\n    },\n    {\n      \"production_code\": \"bcd890\",\n      \"original_air_date\": \"november 27, 1988\"\n    }\n  ]\n}", "idx": 31727}
{"context": "CREATE TABLE table_17625749_3 (drawn VARCHAR, lost VARCHAR)", "sql_query": "select drawn from table_17625749_3 where lost = '13'", "question": "How many were drawn when 13 were lost? ", "data_table": "{\n  \"table_17625749_3\": [\n    {\n      \"drawn\": \"a\",\n      \"lost\": \"13\"\n    },\n    {\n      \"drawn\": \"b\",\n      \"lost\": \"7\"\n    },\n    {\n      \"drawn\": \"c\",\n      \"lost\": \"13\"\n    },\n    {\n      \"drawn\": \"d\",\n      \"lost\": \"5\"\n    },\n    {\n      \"drawn\": \"e\",\n      \"lost\": \"9\"\n    },\n    {\n      \"drawn\": \"f\",\n      \"lost\": \"13\"\n    },\n    {\n      \"drawn\": \"g\",\n      \"lost\": \"2\"\n    },\n    {\n      \"drawn\": \"h\",\n      \"lost\": \"13\"\n    },\n    {\n      \"drawn\": \"i\",\n      \"lost\": \"4\"\n    },\n    {\n      \"drawn\": \"j\",\n      \"lost\": \"13\"\n    }\n  ]\n}", "idx": 31728}
{"context": "CREATE TABLE table_1802522_3 (state__class_ VARCHAR, date_of_successors_formal_installation VARCHAR)", "sql_query": "select state__class_ from table_1802522_3 where date_of_successors_formal_installation = 'november 30, 1962'", "question": "What state had November 30, 1962 as the date of the successors formal installation?", "data_table": "{\n  \"table_1802522_3\": [\n    {\n      \"state__class_\": \"california\",\n      \"date_of_successors_formal_installation\": \"november 30, 1962\"\n    },\n    {\n      \"state__class_\": \"new york\",\n      \"date_of_successors_formal_installation\": \"november 30, 1962\"\n    },\n    {\n      \"state__class_\": \"texas\",\n      \"date_of_successors_formal_installation\": \"december 1, 1962\"\n    },\n    {\n      \"state__class_\": \"florida\",\n      \"date_of_successors_formal_installation\": \"november 30, 1962\"\n    },\n    {\n      \"state__class_\": \"illinois\",\n      \"date_of_successors_formal_installation\": \"december 2, 1962\"\n    },\n    {\n      \"state__class_\": \"ohio\",\n      \"date_of_successors_formal_installation\": \"november 30, 1962\"\n    },\n    {\n      \"state__class_\": \"georgia\",\n      \"date_of_successors_formal_installation\": \"december 1, 1962\"\n    },\n    {\n      \"state__class_\": \"michigan\",\n      \"date_of_successors_formal_installation\": \"december 2, 1962\"\n    },\n    {\n      \"state__class_\": \"washington\",\n      \"date_of_successors_formal_installation\": \"november 30, 1962\"\n    },\n    {\n      \"state__class_\": \"arizona\",\n      \"date_of_successors_formal_installation\": \"december 1, 1962\"\n    }\n  ]\n}", "idx": 31731}
{"context": "CREATE TABLE table_26847237_3 (score VARCHAR, opposition VARCHAR)", "sql_query": "select score from table_26847237_3 where opposition = 'mid canterbury'", "question": "What is the score when the opposition is mid canterbury?", "data_table": "{\n  \"table_26847237_3\": [\n    {\n      \"score\": \"10-5\",\n      \"opposition\": \"mid canterbury\"\n    },\n    {\n      \"score\": \"7-3\",\n      \"opposition\": \"auckland\"\n    },\n    {\n      \"score\": \"12-8\",\n      \"opposition\": \"wellington\"\n    },\n    {\n      \"score\": \"6-4\",\n      \"opposition\": \"canterbury\"\n    },\n    {\n      \"score\": \"9-6\",\n      \"opposition\": \"otago\"\n    },\n    {\n      \"score\": \"11-7\",\n      \"opposition\": \"waikato\"\n    },\n    {\n      \"score\": \"8-5\",\n      \"opposition\": \"northland\"\n    },\n    {\n      \"score\": \"5-2\",\n      \"opposition\": \"southland\"\n    },\n    {\n      \"score\": \"10-6\",\n      \"opposition\": \"taranaki\"\n    },\n    {\n      \"score\": \"7-4\",\n      \"opposition\": \"hawke's bay\"\n    }\n  ]\n}", "idx": 31732}
{"context": "CREATE TABLE table_name_95 (rd_3 VARCHAR, rd_2_1 VARCHAR)", "sql_query": "select rd_3 from table_name_95 where rd_2_1 = '0+1'", "question": "What Rd 3 has a Rd 2 1 of 0+1?", "data_table": "{\n  \"table_name_95\": [\n    {\n      \"rd_3\": \"value1\",\n      \"rd_2_1\": \"0+1\"\n    },\n    {\n      \"rd_3\": \"value2\",\n      \"rd_2_1\": \"0+1\"\n    },\n    {\n      \"rd_3\": \"value3\",\n      \"rd_2_1\": \"2+3\"\n    },\n    {\n      \"rd_3\": \"value4\",\n      \"rd_2_1\": \"4+5\"\n    },\n    {\n      \"rd_3\": \"value5\",\n      \"rd_2_1\": \"0+1\"\n    },\n    {\n      \"rd_3\": \"value6\",\n      \"rd_2_1\": \"6+7\"\n    },\n    {\n      \"rd_3\": \"value7\",\n      \"rd_2_1\": \"0+1\"\n    },\n    {\n      \"rd_3\": \"value8\",\n      \"rd_2_1\": \"8+9\"\n    },\n    {\n      \"rd_3\": \"value9\",\n      \"rd_2_1\": \"0+1\"\n    },\n    {\n      \"rd_3\": \"value10\",\n      \"rd_2_1\": \"10+11\"\n    }\n  ]\n}", "idx": 31734}
{"context": "CREATE TABLE table_1590967_7 (episode_number VARCHAR, guest_host VARCHAR)", "sql_query": "select count(episode_number) from table_1590967_7 where guest_host = 'pamela anderson'", "question": "What episode did Pamela Anderson guest host.", "data_table": "{\n  \"table_1590967_7\": [\n    {\n      \"episode_number\": \"1\",\n      \"guest_host\": \"pamela anderson\"\n    },\n    {\n      \"episode_number\": \"2\",\n      \"guest_host\": \"tom cruise\"\n    },\n    {\n      \"episode_number\": \"3\",\n      \"guest_host\": \"angelina jolie\"\n    },\n    {\n      \"episode_number\": \"4\",\n      \"guest_host\": \"brad pitt\"\n    },\n    {\n      \"episode_number\": \"5\",\n      \"guest_host\": \"jennifer aniston\"\n    },\n    {\n      \"episode_number\": \"6\",\n      \"guest_host\": \"leonardo dicaprio\"\n    },\n    {\n      \"episode_number\": \"7\",\n      \"guest_host\": \"scarlett johansson\"\n    },\n    {\n      \"episode_number\": \"8\",\n      \"guest_host\": \"george clooney\"\n    },\n    {\n      \"episode_number\": \"9\",\n      \"guest_host\": \"meryl streep\"\n    },\n    {\n      \"episode_number\": \"10\",\n      \"guest_host\": \"robert downey jr.\"\n    }\n  ]\n}", "idx": 31735}
{"context": "CREATE TABLE table_name_51 (driving_wheels VARCHAR, date_built VARCHAR)", "sql_query": "select driving_wheels from table_name_51 where date_built = '1883'", "question": "What are the driving wheels of the model built in 1883?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"driving_wheels\": \"front\",\n      \"date_built\": \"1883\"\n    },\n    {\n      \"driving_wheels\": \"rear\",\n      \"date_built\": \"1883\"\n    },\n    {\n      \"driving_wheels\": \"all\",\n      \"date_built\": \"1883\"\n    },\n    {\n      \"driving_wheels\": \"front\",\n      \"date_built\": \"1890\"\n    },\n    {\n      \"driving_wheels\": \"rear\",\n      \"date_built\": \"1890\"\n    },\n    {\n      \"driving_wheels\": \"all\",\n      \"date_built\": \"1890\"\n    },\n    {\n      \"driving_wheels\": \"front\",\n      \"date_built\": \"1905\"\n    },\n    {\n      \"driving_wheels\": \"rear\",\n      \"date_built\": \"1905\"\n    },\n    {\n      \"driving_wheels\": \"all\",\n      \"date_built\": \"1905\"\n    },\n    {\n      \"driving_wheels\": \"front\",\n      \"date_built\": \"1912\"\n    },\n    {\n      \"driving_wheels\": \"rear\",\n      \"date_built\": \"1912\"\n    }\n  ]\n}", "idx": 31736}
{"context": "CREATE TABLE table_name_6 (proposed VARCHAR, listed VARCHAR, county VARCHAR)", "sql_query": "select proposed from table_name_6 where listed = '03/31/1989' and county = 'rockingham'", "question": "When was the site listed 03/31/1989 in rockingham county proposed?", "data_table": "{\n  \"table_name_6\": [\n    {\n      \"proposed\": \"proposal 1\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 2\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 3\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 4\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 5\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 6\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 7\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 8\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 9\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    },\n    {\n      \"proposed\": \"proposal 10\",\n      \"listed\": \"03/31/1989\",\n      \"county\": \"rockingham\"\n    }\n  ]\n}", "idx": 31739}
{"context": "CREATE TABLE table_name_96 (time_retired VARCHAR, constructor VARCHAR, laps VARCHAR)", "sql_query": "select time_retired from table_name_96 where constructor = 'renault' and laps = '40'", "question": "What was the time of the car having a constructor of Renault, which went 40 laps?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"time_retired\": \"12:34:56\",\n      \"constructor\": \"renault\",\n      \"laps\": \"40\"\n    },\n    {\n      \"time_retired\": \"09:12:34\",\n      \"constructor\": \"mercedes\",\n      \"laps\": \"40\"\n    },\n    {\n      \"time_retired\": \"15:45:23\",\n      \"constructor\": \"ferrari\",\n      \"laps\": \"38\"\n    },\n    {\n      \"time_retired\": \"18:09:12\",\n      \"constructor\": \"renault\",\n      \"laps\": \"39\"\n    },\n    {\n      \"time_retired\": \"21:30:45\",\n      \"constructor\": \"mercedes\",\n      \"laps\": \"41\"\n    },\n    {\n      \"time_retired\": \"10:15:30\",\n      \"constructor\": \"ferrari\",\n      \"laps\": \"40\"\n    },\n    {\n      \"time_retired\": \"14:20:10\",\n      \"constructor\": \"renault\",\n      \"laps\": \"38\"\n    },\n    {\n      \"time_retired\": \"17:05:40\",\n      \"constructor\": \"mercedes\",\n      \"laps\": \"39\"\n    },\n    {\n      \"time_retired\": \"20:40:15\",\n      \"constructor\": \"ferrari\",\n      \"laps\": \"41\"\n    },\n    {\n      \"time_retired\": \"11:25:50\",\n      \"constructor\": \"renault\",\n      \"laps\": \"39\"\n    }\n  ]\n}", "idx": 31740}
{"context": "CREATE TABLE table_name_71 (country VARCHAR, icao VARCHAR)", "sql_query": "select country from table_name_71 where icao = 'zgha'", "question": "Tell me the country with ICAO of zgha", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"country\": \"united states\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"canada\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"australia\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"germany\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"france\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"united kingdom\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"japan\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"china\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"brazil\",\n      \"icao\": \"zgha\"\n    },\n    {\n      \"country\": \"india\",\n      \"icao\": \"zgha\"\n    }\n  ]\n}", "idx": 31741}
{"context": "CREATE TABLE table_name_66 (nhl_team VARCHAR, position VARCHAR)", "sql_query": "select nhl_team from table_name_66 where position = 'left wing'", "question": "Which NHL team has left wing listed as the position?", "data_table": "{\n  \"table_name_66\": [\n    {\n      \"nhl_team\": \"boston bruins\",\n      \"position\": \"left wing\"\n    },\n    {\n      \"nhl_team\": \"toronto maple leafs\",\n      \"position\": \"center\"\n    },\n    {\n      \"nhl_team\": \"chicago blackhawks\",\n      \"position\": \"right wing\"\n    },\n    {\n      \"nhl_team\": \"montreal canadiens\",\n      \"position\": \"defense\"\n    },\n    {\n      \"nhl_team\": \"edmonton oilers\",\n      \"position\": \"goalie\"\n    },\n    {\n      \"nhl_team\": \"new york rangers\",\n      \"position\": \"left wing\"\n    },\n    {\n      \"nhl_team\": \"pittsburgh penguins\",\n      \"position\": \"center\"\n    },\n    {\n      \"nhl_team\": \"vegas golden knights\",\n      \"position\": \"right wing\"\n    },\n    {\n      \"nhl_team\": \"washington capitals\",\n      \"position\": \"defense\"\n    },\n    {\n      \"nhl_team\": \"tampa bay lightning\",\n      \"position\": \"goalie\"\n    }\n  ]\n}", "idx": 31742}
{"context": "CREATE TABLE climber (Name VARCHAR, Points VARCHAR)", "sql_query": "select name from climber order by points desc", "question": "List the names of climbers in descending order of points.", "data_table": "{\n  \"climber\": [\n    {\n      \"name\": \"john\",\n      \"points\": \"100\"\n    },\n    {\n      \"name\": \"sarah\",\n      \"points\": \"80\"\n    },\n    {\n      \"name\": \"michael\",\n      \"points\": \"120\"\n    },\n    {\n      \"name\": \"emily\",\n      \"points\": \"90\"\n    },\n    {\n      \"name\": \"david\",\n      \"points\": \"110\"\n    },\n    {\n      \"name\": \"jessica\",\n      \"points\": \"70\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"points\": \"130\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"points\": \"85\"\n    },\n    {\n      \"name\": \"matthew\",\n      \"points\": \"95\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"points\": \"115\"\n    }\n  ]\n}", "idx": 31743}
{"context": "CREATE TABLE table_name_92 (reference VARCHAR, release_date VARCHAR)", "sql_query": "select reference from table_name_92 where release_date = '1996/10/10'", "question": "Which Reference has a Release date of 1996/10/10?", "data_table": "{\n  \"table_name_92\": [\n    {\n      \"reference\": \"ref_1\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_2\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_3\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_4\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_5\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_6\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_7\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_8\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_9\",\n      \"release_date\": \"1996/10/10\"\n    },\n    {\n      \"reference\": \"ref_10\",\n      \"release_date\": \"1996/10/10\"\n    }\n  ]\n}", "idx": 31744}
{"context": "CREATE TABLE table_name_43 (player VARCHAR, runs VARCHAR)", "sql_query": "select player from table_name_43 where runs = '270'", "question": "Which player's runs are 270?", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"player\": \"john\",\n      \"runs\": \"270\"\n    },\n    {\n      \"player\": \"mike\",\n      \"runs\": \"150\"\n    },\n    {\n      \"player\": \"sarah\",\n      \"runs\": \"100\"\n    },\n    {\n      \"player\": \"david\",\n      \"runs\": \"270\"\n    },\n    {\n      \"player\": \"emily\",\n      \"runs\": \"50\"\n    },\n    {\n      \"player\": \"alex\",\n      \"runs\": \"270\"\n    },\n    {\n      \"player\": \"jessica\",\n      \"runs\": \"200\"\n    },\n    {\n      \"player\": \"ryan\",\n      \"runs\": \"270\"\n    },\n    {\n      \"player\": \"olivia\",\n      \"runs\": \"80\"\n    },\n    {\n      \"player\": \"daniel\",\n      \"runs\": \"270\"\n    }\n  ]\n}", "idx": 31745}
{"context": "CREATE TABLE table_name_62 (incumbent VARCHAR, district VARCHAR)", "sql_query": "select incumbent from table_name_62 where district = 'massachusetts 2'", "question": "Which Incumbent has a District of massachusetts 2?", "data_table": "{\n  \"table_name_62\": [\n    {\n      \"incumbent\": \"john smith\",\n      \"district\": \"massachusetts 2\"\n    },\n    {\n      \"incumbent\": \"jane doe\",\n      \"district\": \"massachusetts 1\"\n    },\n    {\n      \"incumbent\": \"michael johnson\",\n      \"district\": \"new york 3\"\n    },\n    {\n      \"incumbent\": \"emily brown\",\n      \"district\": \"california 5\"\n    },\n    {\n      \"incumbent\": \"david wilson\",\n      \"district\": \"texas 8\"\n    },\n    {\n      \"incumbent\": \"sarah davis\",\n      \"district\": \"florida 4\"\n    },\n    {\n      \"incumbent\": \"robert thompson\",\n      \"district\": \"ohio 6\"\n    },\n    {\n      \"incumbent\": \"jennifer martinez\",\n      \"district\": \"arizona 9\"\n    },\n    {\n      \"incumbent\": \"christopher anderson\",\n      \"district\": \"georgia 7\"\n    },\n    {\n      \"incumbent\": \"amanda taylor\",\n      \"district\": \"illinois 3\"\n    }\n  ]\n}", "idx": 31746}
{"context": "CREATE TABLE player (Player_name VARCHAR, Votes VARCHAR)", "sql_query": "select player_name from player order by votes desc limit 1", "question": "What is the name of the player with the largest number of votes?", "data_table": "{\n  \"player\": [\n    {\n      \"player_name\": \"john\",\n      \"votes\": \"10\"\n    },\n    {\n      \"player_name\": \"mike\",\n      \"votes\": \"5\"\n    },\n    {\n      \"player_name\": \"sarah\",\n      \"votes\": \"8\"\n    },\n    {\n      \"player_name\": \"emily\",\n      \"votes\": \"3\"\n    },\n    {\n      \"player_name\": \"david\",\n      \"votes\": \"7\"\n    },\n    {\n      \"player_name\": \"jessica\",\n      \"votes\": \"2\"\n    },\n    {\n      \"player_name\": \"daniel\",\n      \"votes\": \"6\"\n    },\n    {\n      \"player_name\": \"amy\",\n      \"votes\": \"4\"\n    },\n    {\n      \"player_name\": \"brian\",\n      \"votes\": \"9\"\n    },\n    {\n      \"player_name\": \"michelle\",\n      \"votes\": \"1\"\n    }\n  ]\n}", "idx": 31747}
{"context": "CREATE TABLE table_name_26 (year INTEGER, position VARCHAR, player VARCHAR)", "sql_query": "select sum(year) from table_name_26 where position = 'center' and player = 'ann wauters'", "question": "What year is center Ann Wauters?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"year\": 2015,\n      \"position\": \"center\",\n      \"player\": \"ann wauters\"\n    },\n    {\n      \"year\": 2016,\n      \"position\": \"forward\",\n      \"player\": \"sue bird\"\n    },\n    {\n      \"year\": 2017,\n      \"position\": \"guard\",\n      \"player\": \"diana taurasi\"\n    },\n    {\n      \"year\": 2018,\n      \"position\": \"center\",\n      \"player\": \"brittney griner\"\n    },\n    {\n      \"year\": 2019,\n      \"position\": \"forward\",\n      \"player\": \"elena delle donne\"\n    },\n    {\n      \"year\": 2020,\n      \"position\": \"guard\",\n      \"player\": \"skylar diggins-smith\"\n    },\n    {\n      \"year\": 2021,\n      \"position\": \"center\",\n      \"player\": \"liz cambage\"\n    },\n    {\n      \"year\": 2022,\n      \"position\": \"forward\",\n      \"player\": \"breanna stewart\"\n    },\n    {\n      \"year\": 2023,\n      \"position\": \"guard\",\n      \"player\": \"arike ogunbowale\"\n    },\n    {\n      \"year\": 2024,\n      \"position\": \"center\",\n      \"player\": \"tina charles\"\n    }\n  ]\n}", "idx": 31748}
{"context": "CREATE TABLE table_14332822_1 (coding VARCHAR, genbank_id VARCHAR)", "sql_query": "select coding from table_14332822_1 where genbank_id = 'hq021442'", "question": "What is the coding for hq021442 genbankid?", "data_table": "{\n  \"table_14332822_1\": [\n    {\n      \"coding\": \"atgcgt\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"ttgcta\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"gctagc\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"cgatgc\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"tacgta\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"agctag\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"ctagct\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"gatcga\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"acgtac\",\n      \"genbank_id\": \"hq021442\"\n    },\n    {\n      \"coding\": \"tagcta\",\n      \"genbank_id\": \"hq021442\"\n    }\n  ]\n}", "idx": 31749}
{"context": "CREATE TABLE table_name_91 (score VARCHAR, opponent VARCHAR, record VARCHAR)", "sql_query": "select score from table_name_91 where opponent = 'mariners' and record = '24\u201325'", "question": "Which Score has Opponent of mariners and a Record of 24\u201325?", "data_table": "{\n  \"table_name_91\": [\n    {\n      \"score\": \"10-5\",\n      \"opponent\": \"mariners\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"7-3\",\n      \"opponent\": \"yankees\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"2-1\",\n      \"opponent\": \"red sox\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"6-4\",\n      \"opponent\": \"astros\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"3-2\",\n      \"opponent\": \"rangers\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"8-6\",\n      \"opponent\": \"athletics\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"4-0\",\n      \"opponent\": \"blue jays\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"9-7\",\n      \"opponent\": \"white sox\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"5-2\",\n      \"opponent\": \"tigers\",\n      \"record\": \"24\u201325\"\n    },\n    {\n      \"score\": \"1-3\",\n      \"opponent\": \"indians\",\n      \"record\": \"24\u201325\"\n    }\n  ]\n}", "idx": 31750}
{"context": "CREATE TABLE table_name_14 (injured INTEGER, place VARCHAR)", "sql_query": "select max(injured) from table_name_14 where place = 'vaishali, bihar'", "question": "What was the highest number of people injured in incidents in Vaishali, Bihar?", "data_table": "{\n  \"table_name_14\": [\n    {\n      \"injured\": 5,\n      \"place\": \"vaishali, bihar\"\n    },\n    {\n      \"injured\": 3,\n      \"place\": \"patna, bihar\"\n    },\n    {\n      \"injured\": 2,\n      \"place\": \"gaya, bihar\"\n    },\n    {\n      \"injured\": 4,\n      \"place\": \"muzaffarpur, bihar\"\n    },\n    {\n      \"injured\": 1,\n      \"place\": \"bhagalpur, bihar\"\n    },\n    {\n      \"injured\": 6,\n      \"place\": \"darbhanga, bihar\"\n    },\n    {\n      \"injured\": 2,\n      \"place\": \"samastipur, bihar\"\n    },\n    {\n      \"injured\": 3,\n      \"place\": \"begusarai, bihar\"\n    },\n    {\n      \"injured\": 4,\n      \"place\": \"saharsa, bihar\"\n    },\n    {\n      \"injured\": 5,\n      \"place\": \"purnia, bihar\"\n    }\n  ]\n}", "idx": 31751}
{"context": "CREATE TABLE table_name_67 (departure VARCHAR, station_name VARCHAR)", "sql_query": "select departure from table_name_67 where station_name = 'kanpur central'", "question": "What is the Departure time at Kanpur Central Station?", "data_table": "{\n  \"table_name_67\": [\n    {\n      \"departure\": \"09:00 am\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"10:30 am\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"12:15 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"02:45 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"04:20 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"06:10 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"08:30 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"10:00 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"11:45 pm\",\n      \"station_name\": \"kanpur central\"\n    },\n    {\n      \"departure\": \"01:20 am\",\n      \"station_name\": \"kanpur central\"\n    }\n  ]\n}", "idx": 31752}
{"context": "CREATE TABLE table_name_80 (away_team VARCHAR)", "sql_query": "select away_team as score from table_name_80 where away_team = 'north melbourne'", "question": "What is north melbourne's score as an away side?", "data_table": "{\n  \"table_name_80\": [\n    {\n      \"away_team\": \"north melbourne\"\n    },\n    {\n      \"away_team\": \"collingwood\"\n    },\n    {\n      \"away_team\": \"geelong\"\n    },\n    {\n      \"away_team\": \"hawthorn\"\n    },\n    {\n      \"away_team\": \"essendon\"\n    },\n    {\n      \"away_team\": \"richmond\"\n    },\n    {\n      \"away_team\": \"sydney\"\n    },\n    {\n      \"away_team\": \"adelaide\"\n    },\n    {\n      \"away_team\": \"west coast\"\n    },\n    {\n      \"away_team\": \"port adelaide\"\n    }\n  ]\n}", "idx": 31753}
{"context": "CREATE TABLE table_11656578_2 (voivodeship VARCHAR, population__1980_ VARCHAR)", "sql_query": "select count(voivodeship) from table_11656578_2 where population__1980_ = '747 900'", "question": "How many different voivodenship have 747 900 citizes?", "data_table": "{\n  \"table_11656578_2\": [\n    {\n      \"voivodeship\": \"mazowieckie\",\n      \"population__1980_\": \"747 900\"\n    },\n    {\n      \"voivodeship\": \"\u015bl\u0105skie\",\n      \"population__1980_\": \"1 200 000\"\n    },\n    {\n      \"voivodeship\": \"wielkopolskie\",\n      \"population__1980_\": \"900 500\"\n    },\n    {\n      \"voivodeship\": \"ma\u0142opolskie\",\n      \"population__1980_\": \"600 200\"\n    },\n    {\n      \"voivodeship\": \"pomorskie\",\n      \"population__1980_\": \"800 300\"\n    },\n    {\n      \"voivodeship\": \"\u0142\u00f3dzkie\",\n      \"population__1980_\": \"500 100\"\n    },\n    {\n      \"voivodeship\": \"dolno\u015bl\u0105skie\",\n      \"population__1980_\": \"400 800\"\n    },\n    {\n      \"voivodeship\": \"kujawsko-pomorskie\",\n      \"population__1980_\": \"300 400\"\n    },\n    {\n      \"voivodeship\": \"podkarpackie\",\n      \"population__1980_\": \"200 600\"\n    },\n    {\n      \"voivodeship\": \"warmi\u0144sko-mazurskie\",\n      \"population__1980_\": \"100 300\"\n    }\n  ]\n}", "idx": 31754}
{"context": "CREATE TABLE table_name_84 (position VARCHAR, mls_team VARCHAR)", "sql_query": "select position from table_name_84 where mls_team = 'metrostars'", "question": "What position did the MLS team metrostars pick?", "data_table": "{\n  \"table_name_84\": [\n    {\n      \"position\": \"forward\",\n      \"mls_team\": \"metrostars\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"mls_team\": \"metrostars\"\n    },\n    {\n      \"position\": \"defender\",\n      \"mls_team\": \"metrostars\"\n    },\n    {\n      \"position\": \"goalkeeper\",\n      \"mls_team\": \"metrostars\"\n    },\n    {\n      \"position\": \"forward\",\n      \"mls_team\": \"sounders\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"mls_team\": \"sounders\"\n    },\n    {\n      \"position\": \"defender\",\n      \"mls_team\": \"sounders\"\n    },\n    {\n      \"position\": \"goalkeeper\",\n      \"mls_team\": \"sounders\"\n    },\n    {\n      \"position\": \"forward\",\n      \"mls_team\": \"revolution\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"mls_team\": \"revolution\"\n    }\n  ]\n}", "idx": 31755}
{"context": "CREATE TABLE table_name_26 (crowd VARCHAR, away_team VARCHAR)", "sql_query": "select crowd from table_name_26 where away_team = 'footscray'", "question": "What was the crowd when the away team is footscray?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"crowd\": \"10000\",\n      \"away_team\": \"footscray\"\n    },\n    {\n      \"crowd\": \"15000\",\n      \"away_team\": \"collingwood\"\n    },\n    {\n      \"crowd\": \"20000\",\n      \"away_team\": \"essendon\"\n    },\n    {\n      \"crowd\": \"12000\",\n      \"away_team\": \"geelong\"\n    },\n    {\n      \"crowd\": \"18000\",\n      \"away_team\": \"hawthorn\"\n    },\n    {\n      \"crowd\": \"9000\",\n      \"away_team\": \"richmond\"\n    },\n    {\n      \"crowd\": \"14000\",\n      \"away_team\": \"carlton\"\n    },\n    {\n      \"crowd\": \"11000\",\n      \"away_team\": \"adelaide\"\n    },\n    {\n      \"crowd\": \"17000\",\n      \"away_team\": \"brisbane\"\n    },\n    {\n      \"crowd\": \"13000\",\n      \"away_team\": \"west_coast\"\n    }\n  ]\n}", "idx": 31756}
{"context": "CREATE TABLE table_name_31 (team__number2 VARCHAR, team__number1 VARCHAR)", "sql_query": "select team__number2 from table_name_31 where team__number1 = 'deport'", "question": "What is the team #2 with Deport as team #1?", "data_table": "{\n  \"table_name_31\": [\n    {\n      \"team__number2\": \"abc123\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"xyz789\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"pqr456\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"mno321\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"def987\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"ghi654\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"jkl012\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"stu345\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"vwx678\",\n      \"team__number1\": \"deport\"\n    },\n    {\n      \"team__number2\": \"yza901\",\n      \"team__number1\": \"deport\"\n    }\n  ]\n}", "idx": 31758}
{"context": "CREATE TABLE table_name_93 (location VARCHAR, date VARCHAR)", "sql_query": "select location from table_name_93 where date = 'january 23, 2008'", "question": "Where was the game located on January 23, 2008?", "data_table": "{\n  \"table_name_93\": [\n    {\n      \"location\": \"new york\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"miami\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"boston\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"houston\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"denver\",\n      \"date\": \"january 23, 2008\"\n    },\n    {\n      \"location\": \"atlanta\",\n      \"date\": \"january 23, 2008\"\n    }\n  ]\n}", "idx": 31760}
{"context": "CREATE TABLE table_name_73 (crowd INTEGER, venue VARCHAR)", "sql_query": "select min(crowd) from table_name_73 where venue = 'princes park'", "question": "Who was the team with the smallest crowd at the Princes Park venue?", "data_table": "{\n  \"table_name_73\": [\n    {\n      \"crowd\": 100,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 200,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 150,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 300,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 250,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 120,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 180,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 220,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 130,\n      \"venue\": \"princes park\"\n    },\n    {\n      \"crowd\": 170,\n      \"venue\": \"princes park\"\n    }\n  ]\n}", "idx": 31761}
{"context": "CREATE TABLE table_name_52 (partner VARCHAR, surface VARCHAR)", "sql_query": "select partner from table_name_52 where surface = 'grass'", "question": "Who was the partner that played a match on a grass court?", "data_table": "{\n  \"table_name_52\": [\n    {\n      \"partner\": \"john\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"partner\": \"alice\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"partner\": \"bob\",\n      \"surface\": \"hard court\"\n    },\n    {\n      \"partner\": \"emily\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"partner\": \"mike\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"partner\": \"sarah\",\n      \"surface\": \"hard court\"\n    },\n    {\n      \"partner\": \"david\",\n      \"surface\": \"grass\"\n    },\n    {\n      \"partner\": \"olivia\",\n      \"surface\": \"clay\"\n    },\n    {\n      \"partner\": \"daniel\",\n      \"surface\": \"hard court\"\n    },\n    {\n      \"partner\": \"sophia\",\n      \"surface\": \"grass\"\n    }\n  ]\n}", "idx": 31762}
{"context": "CREATE TABLE table_22570439_1 (original_air_date VARCHAR, written_by VARCHAR)", "sql_query": "select original_air_date from table_22570439_1 where written_by = 'tracy poust & jon kinnally'", "question": "What is the original air date where tracy poust & jon kinnally was written by?", "data_table": "{\n  \"table_22570439_1\": [\n    {\n      \"original_air_date\": \"2021-01-01\",\n      \"written_by\": \"tracy poust & jon kinnally\"\n    },\n    {\n      \"original_air_date\": \"2020-05-15\",\n      \"written_by\": \"jane smith\"\n    },\n    {\n      \"original_air_date\": \"2019-09-30\",\n      \"written_by\": \"john doe\"\n    },\n    {\n      \"original_air_date\": \"2020-11-20\",\n      \"written_by\": \"tracy poust & jon kinnally\"\n    },\n    {\n      \"original_air_date\": \"2021-03-10\",\n      \"written_by\": \"michael jones\"\n    },\n    {\n      \"original_air_date\": \"2019-07-05\",\n      \"written_by\": \"tracy poust & jon kinnally\"\n    },\n    {\n      \"original_air_date\": \"2020-02-14\",\n      \"written_by\": \"sarah brown\"\n    },\n    {\n      \"original_air_date\": \"2021-06-25\",\n      \"written_by\": \"tracy poust & jon kinnally\"\n    },\n    {\n      \"original_air_date\": \"2020-09-12\",\n      \"written_by\": \"david wilson\"\n    },\n    {\n      \"original_air_date\": \"2019-12-01\",\n      \"written_by\": \"tracy poust & jon kinnally\"\n    }\n  ]\n}", "idx": 31763}
{"context": "CREATE TABLE table_name_16 (neck VARCHAR, shoulder VARCHAR)", "sql_query": "select neck from table_name_16 where shoulder = '10.688 (.420)'", "question": "What is the neck measurement of the gun with a shoulder measurement of 10.688 (.420)?", "data_table": "{\n  \"table_name_16\": [\n    {\n      \"neck\": \"15.25\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"14.75\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"16.5\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"15.75\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"16.25\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"14.5\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"15.5\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"17.25\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"16\",\n      \"shoulder\": \"10.688 (.420)\"\n    },\n    {\n      \"neck\": \"17.75\",\n      \"shoulder\": \"10.688 (.420)\"\n    }\n  ]\n}", "idx": 31764}
{"context": "CREATE TABLE table_27514362_7 (pos VARCHAR, car_make VARCHAR, driver VARCHAR)", "sql_query": "select pos from table_27514362_7 where car_make = 'pontiac' and driver = 'bobby hamilton'", "question": "What is the finish position for cars by Pontiac driven by Bobby Hamilton?", "data_table": "{\n  \"table_27514362_7\": [\n    {\n      \"pos\": \"1\",\n      \"car_make\": \"pontiac\",\n      \"driver\": \"bobby hamilton\"\n    },\n    {\n      \"pos\": \"2\",\n      \"car_make\": \"ford\",\n      \"driver\": \"jimmy johnson\"\n    },\n    {\n      \"pos\": \"3\",\n      \"car_make\": \"chevrolet\",\n      \"driver\": \"jeff gordon\"\n    },\n    {\n      \"pos\": \"4\",\n      \"car_make\": \"pontiac\",\n      \"driver\": \"dale earnhardt\"\n    },\n    {\n      \"pos\": \"5\",\n      \"car_make\": \"ford\",\n      \"driver\": \"tony stewart\"\n    },\n    {\n      \"pos\": \"6\",\n      \"car_make\": \"chevrolet\",\n      \"driver\": \"kyle busch\"\n    },\n    {\n      \"pos\": \"7\",\n      \"car_make\": \"pontiac\",\n      \"driver\": \"kevin harvick\"\n    },\n    {\n      \"pos\": \"8\",\n      \"car_make\": \"ford\",\n      \"driver\": \"matt kenseth\"\n    },\n    {\n      \"pos\": \"9\",\n      \"car_make\": \"chevrolet\",\n      \"driver\": \"jimmie johnson\"\n    },\n    {\n      \"pos\": \"10\",\n      \"car_make\": \"pontiac\",\n      \"driver\": \"denny hamlin\"\n    }\n  ]\n}", "idx": 31767}
{"context": "CREATE TABLE table_name_50 (competition VARCHAR, date VARCHAR)", "sql_query": "select competition from table_name_50 where date = '26th'", "question": "What competition was held on the 26th?", "data_table": "{\n  \"table_name_50\": [\n    {\n      \"competition\": \"basketball\",\n      \"date\": \"26th\"\n    },\n    {\n      \"competition\": \"football\",\n      \"date\": \"26th\"\n    },\n    {\n      \"competition\": \"tennis\",\n      \"date\": \"27th\"\n    },\n    {\n      \"competition\": \"soccer\",\n      \"date\": \"28th\"\n    },\n    {\n      \"competition\": \"baseball\",\n      \"date\": \"26th\"\n    },\n    {\n      \"competition\": \"volleyball\",\n      \"date\": \"27th\"\n    },\n    {\n      \"competition\": \"cricket\",\n      \"date\": \"28th\"\n    },\n    {\n      \"competition\": \"golf\",\n      \"date\": \"26th\"\n    },\n    {\n      \"competition\": \"hockey\",\n      \"date\": \"27th\"\n    },\n    {\n      \"competition\": \"rugby\",\n      \"date\": \"28th\"\n    }\n  ]\n}", "idx": 31768}
{"context": "CREATE TABLE table_name_40 (result VARCHAR, goals VARCHAR)", "sql_query": "select result from table_name_40 where goals = 'cook 3/6'", "question": "What was the score of cook 3/6?", "data_table": "{\n  \"table_name_40\": [\n    {\n      \"result\": \"win\",\n      \"goals\": \"cook 3/6\"\n    },\n    {\n      \"result\": \"loss\",\n      \"goals\": \"bake 2/4\"\n    },\n    {\n      \"result\": \"draw\",\n      \"goals\": \"grill 1/3\"\n    },\n    {\n      \"result\": \"win\",\n      \"goals\": \"fry 4/7\"\n    },\n    {\n      \"result\": \"loss\",\n      \"goals\": \"roast 2/5\"\n    },\n    {\n      \"result\": \"draw\",\n      \"goals\": \"steam 1/2\"\n    },\n    {\n      \"result\": \"win\",\n      \"goals\": \"saute 5/8\"\n    },\n    {\n      \"result\": \"loss\",\n      \"goals\": \"boil 3/5\"\n    },\n    {\n      \"result\": \"draw\",\n      \"goals\": \"poach 2/4\"\n    },\n    {\n      \"result\": \"win\",\n      \"goals\": \"stir-fry 6/9\"\n    }\n  ]\n}", "idx": 31769}
{"context": "CREATE TABLE table_name_95 (year INTEGER, venue VARCHAR)", "sql_query": "select max(year) from table_name_95 where venue = 'narbonne , france'", "question": "Name the highest Year which has a Venue of narbonne , france?", "data_table": "{\n  \"table_name_95\": [\n    {\n      \"year\": 2015,\n      \"venue\": \"narbonne, france\"\n    },\n    {\n      \"year\": 2016,\n      \"venue\": \"paris, france\"\n    },\n    {\n      \"year\": 2017,\n      \"venue\": \"london, uk\"\n    },\n    {\n      \"year\": 2018,\n      \"venue\": \"berlin, germany\"\n    },\n    {\n      \"year\": 2019,\n      \"venue\": \"rome, italy\"\n    },\n    {\n      \"year\": 2020,\n      \"venue\": \"madrid, spain\"\n    },\n    {\n      \"year\": 2021,\n      \"venue\": \"amsterdam, netherlands\"\n    },\n    {\n      \"year\": 2022,\n      \"venue\": \"vienna, austria\"\n    },\n    {\n      \"year\": 2023,\n      \"venue\": \"athens, greece\"\n    },\n    {\n      \"year\": 2024,\n      \"venue\": \"lisbon, portugal\"\n    }\n  ]\n}", "idx": 31770}
{"context": "CREATE TABLE table_name_72 (date VARCHAR, score VARCHAR)", "sql_query": "select date from table_name_72 where score = '3\u20136, 7\u20136(6), 5\u20137'", "question": "What is the Date of the Tournament with a Score of 3\u20136, 7\u20136(6), 5\u20137?", "data_table": "{\n  \"table_name_72\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"score\": \"3\u20136, 7\u20136(6), 5\u20137\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"score\": \"6\u20134, 6\u20133\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"score\": \"2\u20136, 6\u20133, 6\u20134\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"score\": \"6\u20132, 6\u20137(5), 7\u20136(3)\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"score\": \"6\u20133, 4\u20136, 6\u20132\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"score\": \"7\u20135, 6\u20137(4), 6\u20134\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"score\": \"6\u20134, 6\u20137(2), 7\u20136(5)\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"score\": \"6\u20133, 6\u20132\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"score\": \"4\u20136, 6\u20133, 7\u20135\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"score\": \"6\u20132, 6\u20134\"\n    }\n  ]\n}", "idx": 31771}
{"context": "CREATE TABLE table_name_65 (venue VARCHAR, score VARCHAR, date VARCHAR)", "sql_query": "select venue from table_name_65 where score = '5-0' and date = 'october 27, 2005'", "question": "What Venue on October 27, 2005 had a Score of 5-0?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"venue\": \"stadium a\",\n      \"score\": \"5-0\",\n      \"date\": \"october 27, 2005\"\n    },\n    {\n      \"venue\": \"stadium b\",\n      \"score\": \"3-2\",\n      \"date\": \"november 15, 2005\"\n    },\n    {\n      \"venue\": \"stadium c\",\n      \"score\": \"1-0\",\n      \"date\": \"december 2, 2005\"\n    },\n    {\n      \"venue\": \"stadium d\",\n      \"score\": \"2-1\",\n      \"date\": \"january 10, 2006\"\n    },\n    {\n      \"venue\": \"stadium e\",\n      \"score\": \"4-0\",\n      \"date\": \"february 5, 2006\"\n    },\n    {\n      \"venue\": \"stadium f\",\n      \"score\": \"5-0\",\n      \"date\": \"march 21, 2006\"\n    },\n    {\n      \"venue\": \"stadium g\",\n      \"score\": \"3-1\",\n      \"date\": \"april 8, 2006\"\n    },\n    {\n      \"venue\": \"stadium h\",\n      \"score\": \"2-0\",\n      \"date\": \"may 17, 2006\"\n    },\n    {\n      \"venue\": \"stadium i\",\n      \"score\": \"4-2\",\n      \"date\": \"june 3, 2006\"\n    },\n    {\n      \"venue\": \"stadium j\",\n      \"score\": \"1-0\",\n      \"date\": \"july 22, 2006\"\n    }\n  ]\n}", "idx": 31772}
{"context": "CREATE TABLE table_name_96 (elimination VARCHAR, wrestler VARCHAR)", "sql_query": "select elimination from table_name_96 where wrestler = 'candice'", "question": "What is the Elimination for Candice?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"elimination\": \"disqualified\",\n      \"wrestler\": \"john\"\n    },\n    {\n      \"elimination\": \"pinned\",\n      \"wrestler\": \"candice\"\n    },\n    {\n      \"elimination\": \"forfeited\",\n      \"wrestler\": \"mike\"\n    },\n    {\n      \"elimination\": \"counted out\",\n      \"wrestler\": \"candice\"\n    },\n    {\n      \"elimination\": \"disqualified\",\n      \"wrestler\": \"sarah\"\n    },\n    {\n      \"elimination\": \"pinned\",\n      \"wrestler\": \"mike\"\n    },\n    {\n      \"elimination\": \"forfeited\",\n      \"wrestler\": \"john\"\n    },\n    {\n      \"elimination\": \"counted out\",\n      \"wrestler\": \"sarah\"\n    },\n    {\n      \"elimination\": \"disqualified\",\n      \"wrestler\": \"candice\"\n    },\n    {\n      \"elimination\": \"pinned\",\n      \"wrestler\": \"john\"\n    }\n  ]\n}", "idx": 31773}
{"context": "CREATE TABLE table_name_34 (opponent VARCHAR, round VARCHAR)", "sql_query": "select opponent from table_name_34 where round = '12'", "question": "Which opponent has a Round of 12?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"opponent\": \"john\",\n      \"round\": \"12\"\n    },\n    {\n      \"opponent\": \"mike\",\n      \"round\": \"10\"\n    },\n    {\n      \"opponent\": \"sarah\",\n      \"round\": \"12\"\n    },\n    {\n      \"opponent\": \"emily\",\n      \"round\": \"8\"\n    },\n    {\n      \"opponent\": \"david\",\n      \"round\": \"12\"\n    },\n    {\n      \"opponent\": \"alex\",\n      \"round\": \"6\"\n    },\n    {\n      \"opponent\": \"jessica\",\n      \"round\": \"12\"\n    },\n    {\n      \"opponent\": \"ryan\",\n      \"round\": \"4\"\n    },\n    {\n      \"opponent\": \"olivia\",\n      \"round\": \"12\"\n    },\n    {\n      \"opponent\": \"daniel\",\n      \"round\": \"2\"\n    }\n  ]\n}", "idx": 31775}
{"context": "CREATE TABLE table_name_95 (date__closing_ VARCHAR, opening_film VARCHAR)", "sql_query": "select date__closing_ from table_name_95 where opening_film = 'deconstruction of korean housewife'", "question": "What is Date (Closing), when Opening Film is \"Deconstruction of Korean Housewife\"?", "data_table": "{\n  \"table_name_95\": [\n    {\n      \"date__closing_\": \"2022-01-01\",\n      \"opening_film\": \"deconstruction of korean housewife\"\n    },\n    {\n      \"date__closing_\": \"2022-01-02\",\n      \"opening_film\": \"the great escape\"\n    },\n    {\n      \"date__closing_\": \"2022-01-03\",\n      \"opening_film\": \"inception\"\n    },\n    {\n      \"date__closing_\": \"2022-01-04\",\n      \"opening_film\": \"pulp fiction\"\n    },\n    {\n      \"date__closing_\": \"2022-01-05\",\n      \"opening_film\": \"the shawshank redemption\"\n    },\n    {\n      \"date__closing_\": \"2022-01-06\",\n      \"opening_film\": \"fight club\"\n    },\n    {\n      \"date__closing_\": \"2022-01-07\",\n      \"opening_film\": \"the dark knight\"\n    },\n    {\n      \"date__closing_\": \"2022-01-08\",\n      \"opening_film\": \"the matrix\"\n    },\n    {\n      \"date__closing_\": \"2022-01-09\",\n      \"opening_film\": \"forrest gump\"\n    },\n    {\n      \"date__closing_\": \"2022-01-10\",\n      \"opening_film\": \"the godfather\"\n    }\n  ]\n}", "idx": 31776}
{"context": "CREATE TABLE table_2897457_8 (nhl_team VARCHAR, position VARCHAR)", "sql_query": "select count(nhl_team) from table_2897457_8 where position = 'center'", "question": "How many figures are provided for the team when the position drafted is center?", "data_table": "{\n  \"table_2897457_8\": [\n    {\n      \"nhl_team\": \"boston bruins\",\n      \"position\": \"center\"\n    },\n    {\n      \"nhl_team\": \"tampa bay lightning\",\n      \"position\": \"left wing\"\n    },\n    {\n      \"nhl_team\": \"toronto maple leafs\",\n      \"position\": \"right wing\"\n    },\n    {\n      \"nhl_team\": \"washington capitals\",\n      \"position\": \"defenseman\"\n    },\n    {\n      \"nhl_team\": \"pittsburgh penguins\",\n      \"position\": \"center\"\n    },\n    {\n      \"nhl_team\": \"vegas golden knights\",\n      \"position\": \"left wing\"\n    },\n    {\n      \"nhl_team\": \"colorado avalanche\",\n      \"position\": \"right wing\"\n    },\n    {\n      \"nhl_team\": \"edmonton oilers\",\n      \"position\": \"defenseman\"\n    },\n    {\n      \"nhl_team\": \"st. louis blues\",\n      \"position\": \"center\"\n    },\n    {\n      \"nhl_team\": \"new york rangers\",\n      \"position\": \"left wing\"\n    }\n  ]\n}", "idx": 31777}
{"context": "CREATE TABLE table_name_97 (visitor VARCHAR, home VARCHAR, date VARCHAR)", "sql_query": "select visitor from table_name_97 where home = 'boston bruins' and date = 'november 15'", "question": "Who is listed as the Visitor that has a Home of Boston Bruins and a Date of November 15?", "data_table": "{\n  \"table_name_97\": [\n    {\n      \"visitor\": \"john\",\n      \"home\": \"boston bruins\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"emily\",\n      \"home\": \"montreal canadiens\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"michael\",\n      \"home\": \"toronto maple leafs\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"sophia\",\n      \"home\": \"new york rangers\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"daniel\",\n      \"home\": \"chicago blackhawks\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"olivia\",\n      \"home\": \"vegas golden knights\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"matthew\",\n      \"home\": \"edmonton oilers\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"ava\",\n      \"home\": \"san jose sharks\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"william\",\n      \"home\": \"washington capitals\",\n      \"date\": \"november 15\"\n    },\n    {\n      \"visitor\": \"sofia\",\n      \"home\": \"pittsburgh penguins\",\n      \"date\": \"november 15\"\n    }\n  ]\n}", "idx": 31778}
{"context": "CREATE TABLE table_1342292_42 (candidates VARCHAR, incumbent VARCHAR)", "sql_query": "select candidates from table_1342292_42 where incumbent = 'sam rayburn'", "question": "Who are all the candidates when Sam Rayburn was incumbent?", "data_table": "{\n  \"table_1342292_42\": [\n    {\n      \"candidates\": \"john doe\",\n      \"incumbent\": \"sam rayburn\"\n    },\n    {\n      \"candidates\": \"jane smith\",\n      \"incumbent\": \"sam rayburn\"\n    },\n    {\n      \"candidates\": \"michael johnson\",\n      \"incumbent\": \"john adams\"\n    },\n    {\n      \"candidates\": \"sarah thompson\",\n      \"incumbent\": \"john adams\"\n    },\n    {\n      \"candidates\": \"robert williams\",\n      \"incumbent\": \"george washington\"\n    },\n    {\n      \"candidates\": \"emily davis\",\n      \"incumbent\": \"george washington\"\n    },\n    {\n      \"candidates\": \"daniel brown\",\n      \"incumbent\": \"thomas jefferson\"\n    },\n    {\n      \"candidates\": \"olivia wilson\",\n      \"incumbent\": \"thomas jefferson\"\n    },\n    {\n      \"candidates\": \"matthew taylor\",\n      \"incumbent\": \"abraham lincoln\"\n    },\n    {\n      \"candidates\": \"ava anderson\",\n      \"incumbent\": \"abraham lincoln\"\n    }\n  ]\n}", "idx": 31779}
{"context": "CREATE TABLE table_11545282_6 (position VARCHAR, player VARCHAR)", "sql_query": "select count(position) from table_11545282_6 where player = 'jim farmer'", "question": "How many position does Jim Farmer play in?", "data_table": "{\n  \"table_11545282_6\": [\n    {\n      \"position\": \"forward\",\n      \"player\": \"john smith\"\n    },\n    {\n      \"position\": \"guard\",\n      \"player\": \"jim farmer\"\n    },\n    {\n      \"position\": \"center\",\n      \"player\": \"michael johnson\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"david thompson\"\n    },\n    {\n      \"position\": \"guard\",\n      \"player\": \"chris miller\"\n    },\n    {\n      \"position\": \"center\",\n      \"player\": \"robert davis\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"mark wilson\"\n    },\n    {\n      \"position\": \"guard\",\n      \"player\": \"jim farmer\"\n    },\n    {\n      \"position\": \"center\",\n      \"player\": \"paul anderson\"\n    },\n    {\n      \"position\": \"forward\",\n      \"player\": \"tom johnson\"\n    }\n  ]\n}", "idx": 31780}
{"context": "CREATE TABLE table_176529_2 (status VARCHAR, official_name VARCHAR)", "sql_query": "select count(status) from table_176529_2 where official_name = 'moncton'", "question": "How many status are there for Moncton?", "data_table": "{\n  \"table_176529_2\": [\n    {\n      \"status\": \"active\",\n      \"official_name\": \"moncton\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"official_name\": \"toronto\"\n    },\n    {\n      \"status\": \"active\",\n      \"official_name\": \"vancouver\"\n    },\n    {\n      \"status\": \"active\",\n      \"official_name\": \"calgary\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"official_name\": \"edmonton\"\n    },\n    {\n      \"status\": \"active\",\n      \"official_name\": \"halifax\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"official_name\": \"ottawa\"\n    },\n    {\n      \"status\": \"active\",\n      \"official_name\": \"winnipeg\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"official_name\": \"quebec city\"\n    },\n    {\n      \"status\": \"active\",\n      \"official_name\": \"victoria\"\n    }\n  ]\n}", "idx": 31781}
{"context": "CREATE TABLE table_name_68 (attendance INTEGER, loss VARCHAR)", "sql_query": "select max(attendance) from table_name_68 where loss = 'k. gross (1-1)'", "question": "How many attended the game that was a Loss of k. gross (1-1)?", "data_table": "{\n  \"table_name_68\": [\n    {\n      \"attendance\": 100,\n      \"loss\": \"k. gross (1-1)\"\n    },\n    {\n      \"attendance\": 150,\n      \"loss\": \"j. smith (2-0)\"\n    },\n    {\n      \"attendance\": 200,\n      \"loss\": \"m. johnson (0-1)\"\n    },\n    {\n      \"attendance\": 120,\n      \"loss\": \"s. wilson (1-2)\"\n    },\n    {\n      \"attendance\": 180,\n      \"loss\": \"r. thompson (0-0)\"\n    },\n    {\n      \"attendance\": 90,\n      \"loss\": \"a. brown (3-1)\"\n    },\n    {\n      \"attendance\": 160,\n      \"loss\": \"d. miller (2-2)\"\n    },\n    {\n      \"attendance\": 220,\n      \"loss\": \"b. davis (1-0)\"\n    },\n    {\n      \"attendance\": 130,\n      \"loss\": \"c. wilson (0-2)\"\n    },\n    {\n      \"attendance\": 170,\n      \"loss\": \"e. anderson (2-1)\"\n    }\n  ]\n}", "idx": 31782}
{"context": "CREATE TABLE table_30012404_4 (us_air_date VARCHAR, directed_by VARCHAR)", "sql_query": "select us_air_date from table_30012404_4 where directed_by = 'ken girotti'", "question": "What is the US air date when the director is ken girotti?", "data_table": "{\n  \"table_30012404_4\": [\n    {\n      \"us_air_date\": \"2022-01-01\",\n      \"directed_by\": \"ken girotti\"\n    },\n    {\n      \"us_air_date\": \"2022-02-15\",\n      \"directed_by\": \"ken girotti\"\n    },\n    {\n      \"us_air_date\": \"2022-03-10\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"us_air_date\": \"2022-04-05\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"us_air_date\": \"2022-05-20\",\n      \"directed_by\": \"ken girotti\"\n    },\n    {\n      \"us_air_date\": \"2022-06-12\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"us_air_date\": \"2022-07-18\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"us_air_date\": \"2022-08-29\",\n      \"directed_by\": \"ken girotti\"\n    },\n    {\n      \"us_air_date\": \"2022-09-14\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"us_air_date\": \"2022-10-30\",\n      \"directed_by\": \"jane doe\"\n    }\n  ]\n}", "idx": 31783}
{"context": "CREATE TABLE table_name_37 (match INTEGER, ground VARCHAR, opponent VARCHAR)", "sql_query": "select avg(match) from table_name_37 where ground = 'h' and opponent = 'chelsea under 18s'", "question": "What match number has a ground of H and the opponent Chelsea under 18s?", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"match\": 1,\n      \"ground\": \"h\",\n      \"opponent\": \"chelsea under 18s\"\n    },\n    {\n      \"match\": 2,\n      \"ground\": \"a\",\n      \"opponent\": \"manchester united under 18s\"\n    },\n    {\n      \"match\": 3,\n      \"ground\": \"h\",\n      \"opponent\": \"arsenal under 18s\"\n    },\n    {\n      \"match\": 4,\n      \"ground\": \"a\",\n      \"opponent\": \"liverpool under 18s\"\n    },\n    {\n      \"match\": 5,\n      \"ground\": \"h\",\n      \"opponent\": \"tottenham under 18s\"\n    },\n    {\n      \"match\": 6,\n      \"ground\": \"a\",\n      \"opponent\": \"manchester city under 18s\"\n    },\n    {\n      \"match\": 7,\n      \"ground\": \"h\",\n      \"opponent\": \"everton under 18s\"\n    },\n    {\n      \"match\": 8,\n      \"ground\": \"a\",\n      \"opponent\": \"leicester under 18s\"\n    },\n    {\n      \"match\": 9,\n      \"ground\": \"h\",\n      \"opponent\": \"west ham under 18s\"\n    },\n    {\n      \"match\": 10,\n      \"ground\": \"a\",\n      \"opponent\": \"southampton under 18s\"\n    }\n  ]\n}", "idx": 31784}
{"context": "CREATE TABLE table_name_22 (attendance VARCHAR, visitor VARCHAR)", "sql_query": "select attendance from table_name_22 where visitor = 'anaheim'", "question": "What was the attendance at the Kings game when Anaheim was the visiting team?", "data_table": "{\n  \"table_name_22\": [\n    {\n      \"attendance\": \"present\",\n      \"visitor\": \"anaheim\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"visitor\": \"anaheim\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"visitor\": \"los angeles\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"visitor\": \"los angeles\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"visitor\": \"san francisco\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"visitor\": \"san francisco\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"visitor\": \"seattle\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"visitor\": \"seattle\"\n    },\n    {\n      \"attendance\": \"present\",\n      \"visitor\": \"chicago\"\n    },\n    {\n      \"attendance\": \"absent\",\n      \"visitor\": \"chicago\"\n    }\n  ]\n}", "idx": 31785}
{"context": "CREATE TABLE table_name_28 (complement VARCHAR, commander VARCHAR)", "sql_query": "select count(complement) from table_name_28 where commander = 'valkenburg'", "question": "What is the sum of complement commander Valkenburg received?", "data_table": "{\n  \"table_name_28\": [\n    {\n      \"complement\": \"blue\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"red\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"green\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"yellow\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"purple\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"orange\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"black\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"white\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"pink\",\n      \"commander\": \"valkenburg\"\n    },\n    {\n      \"complement\": \"brown\",\n      \"commander\": \"valkenburg\"\n    }\n  ]\n}", "idx": 31787}
{"context": "CREATE TABLE table_name_71 (power VARCHAR, city_of_license VARCHAR)", "sql_query": "select power from table_name_71 where city_of_license = 'belleville'", "question": "what is the power when the city of license is belleville?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"power\": \"1000w\",\n      \"city_of_license\": \"belleville\"\n    },\n    {\n      \"power\": \"500w\",\n      \"city_of_license\": \"belleville\"\n    },\n    {\n      \"power\": \"2000w\",\n      \"city_of_license\": \"chicago\"\n    },\n    {\n      \"power\": \"1500w\",\n      \"city_of_license\": \"new york\"\n    },\n    {\n      \"power\": \"800w\",\n      \"city_of_license\": \"los angeles\"\n    },\n    {\n      \"power\": \"1200w\",\n      \"city_of_license\": \"belleville\"\n    },\n    {\n      \"power\": \"600w\",\n      \"city_of_license\": \"chicago\"\n    },\n    {\n      \"power\": \"1800w\",\n      \"city_of_license\": \"new york\"\n    },\n    {\n      \"power\": \"700w\",\n      \"city_of_license\": \"los angeles\"\n    },\n    {\n      \"power\": \"900w\",\n      \"city_of_license\": \"belleville\"\n    }\n  ]\n}", "idx": 31789}
{"context": "CREATE TABLE table_name_31 (opponent_in_final VARCHAR, surface VARCHAR, date VARCHAR)", "sql_query": "select opponent_in_final from table_name_31 where surface = 'hard' and date = '13 january 1992'", "question": "What is Opponent in Final, when Surface is \"Hard\", and when Date is \"13 January 1992\"?", "data_table": "{\n  \"table_name_31\": [\n    {\n      \"opponent_in_final\": \"federer\",\n      \"surface\": \"hard\",\n      \"date\": \"13 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"nadal\",\n      \"surface\": \"clay\",\n      \"date\": \"13 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"djokovic\",\n      \"surface\": \"grass\",\n      \"date\": \"13 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"murray\",\n      \"surface\": \"hard\",\n      \"date\": \"15 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"nishikori\",\n      \"surface\": \"hard\",\n      \"date\": \"13 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"wawrinka\",\n      \"surface\": \"clay\",\n      \"date\": \"15 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"thiem\",\n      \"surface\": \"grass\",\n      \"date\": \"15 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"zverev\",\n      \"surface\": \"hard\",\n      \"date\": \"15 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"tsitsipas\",\n      \"surface\": \"clay\",\n      \"date\": \"13 january 1992\"\n    },\n    {\n      \"opponent_in_final\": \"medvedev\",\n      \"surface\": \"grass\",\n      \"date\": \"15 january 1992\"\n    }\n  ]\n}", "idx": 31792}
{"context": "CREATE TABLE table_name_94 (surface VARCHAR, date VARCHAR)", "sql_query": "select surface from table_name_94 where date = '2 june 2003'", "question": "What Surface was used on 2 June 2003?", "data_table": "{\n  \"table_name_94\": [\n    {\n      \"surface\": \"grass\",\n      \"date\": \"2 june 2003\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"date\": \"2 june 2003\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"date\": \"2 june 2003\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"date\": \"3 june 2003\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"date\": \"3 june 2003\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"date\": \"3 june 2003\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"date\": \"4 june 2003\"\n    },\n    {\n      \"surface\": \"clay\",\n      \"date\": \"4 june 2003\"\n    },\n    {\n      \"surface\": \"hard\",\n      \"date\": \"4 june 2003\"\n    },\n    {\n      \"surface\": \"grass\",\n      \"date\": \"5 june 2003\"\n    }\n  ]\n}", "idx": 31795}
{"context": "CREATE TABLE table_26259391_1 (no_in_series VARCHAR, us_viewers__million_ VARCHAR, directed_by VARCHAR)", "sql_query": "select count(no_in_series) from table_26259391_1 where us_viewers__million_ = '6.55' and directed_by = 'pete michels'", "question": "how many series had 6.55 u.s. viewers (million) and were directed by pete michels", "data_table": "{\n  \"table_26259391_1\": [\n    {\n      \"no_in_series\": \"1\",\n      \"us_viewers__million_\": \"6.55\",\n      \"directed_by\": \"pete michels\"\n    },\n    {\n      \"no_in_series\": \"2\",\n      \"us_viewers__million_\": \"5.12\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"no_in_series\": \"3\",\n      \"us_viewers__million_\": \"7.89\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"no_in_series\": \"4\",\n      \"us_viewers__million_\": \"6.55\",\n      \"directed_by\": \"michael brown\"\n    },\n    {\n      \"no_in_series\": \"5\",\n      \"us_viewers__million_\": \"4.32\",\n      \"directed_by\": \"sarah jones\"\n    },\n    {\n      \"no_in_series\": \"6\",\n      \"us_viewers__million_\": \"6.55\",\n      \"directed_by\": \"pete michels\"\n    },\n    {\n      \"no_in_series\": \"7\",\n      \"us_viewers__million_\": \"8.76\",\n      \"directed_by\": \"john smith\"\n    },\n    {\n      \"no_in_series\": \"8\",\n      \"us_viewers__million_\": \"6.55\",\n      \"directed_by\": \"jane doe\"\n    },\n    {\n      \"no_in_series\": \"9\",\n      \"us_viewers__million_\": \"3.21\",\n      \"directed_by\": \"michael brown\"\n    },\n    {\n      \"no_in_series\": \"10\",\n      \"us_viewers__million_\": \"6.55\",\n      \"directed_by\": \"sarah jones\"\n    }\n  ]\n}", "idx": 31796}
{"context": "CREATE TABLE table_name_40 (termination_of_mission VARCHAR, appointed_by VARCHAR)", "sql_query": "select termination_of_mission from table_name_40 where appointed_by = 'barack obama'", "question": "What was the Termination of Mission date for the ambassador who was appointed by Barack Obama?", "data_table": "{\n  \"table_name_40\": [\n    {\n      \"termination_of_mission\": \"completed\",\n      \"appointed_by\": \"barack obama\"\n    },\n    {\n      \"termination_of_mission\": \"terminated\",\n      \"appointed_by\": \"donald trump\"\n    },\n    {\n      \"termination_of_mission\": \"resigned\",\n      \"appointed_by\": \"george w. bush\"\n    },\n    {\n      \"termination_of_mission\": \"dismissed\",\n      \"appointed_by\": \"barack obama\"\n    },\n    {\n      \"termination_of_mission\": \"completed\",\n      \"appointed_by\": \"george w. bush\"\n    },\n    {\n      \"termination_of_mission\": \"terminated\",\n      \"appointed_by\": \"donald trump\"\n    },\n    {\n      \"termination_of_mission\": \"resigned\",\n      \"appointed_by\": \"barack obama\"\n    },\n    {\n      \"termination_of_mission\": \"dismissed\",\n      \"appointed_by\": \"george w. bush\"\n    },\n    {\n      \"termination_of_mission\": \"completed\",\n      \"appointed_by\": \"donald trump\"\n    },\n    {\n      \"termination_of_mission\": \"terminated\",\n      \"appointed_by\": \"barack obama\"\n    }\n  ]\n}", "idx": 31797}
{"context": "CREATE TABLE table_name_65 (weight_class VARCHAR, time VARCHAR)", "sql_query": "select weight_class from table_name_65 where time = '4:59'", "question": "Which weight class had a time of 4:59?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"weight_class\": \"featherweight\",\n      \"time\": \"4:59\"\n    },\n    {\n      \"weight_class\": \"lightweight\",\n      \"time\": \"4:59\"\n    },\n    {\n      \"weight_class\": \"welterweight\",\n      \"time\": \"3:12\"\n    },\n    {\n      \"weight_class\": \"middleweight\",\n      \"time\": \"2:45\"\n    },\n    {\n      \"weight_class\": \"heavyweight\",\n      \"time\": \"4:59\"\n    },\n    {\n      \"weight_class\": \"bantamweight\",\n      \"time\": \"1:30\"\n    },\n    {\n      \"weight_class\": \"flyweight\",\n      \"time\": \"4:59\"\n    },\n    {\n      \"weight_class\": \"light heavyweight\",\n      \"time\": \"4:59\"\n    },\n    {\n      \"weight_class\": \"strawweight\",\n      \"time\": \"4:59\"\n    },\n    {\n      \"weight_class\": \"heavyweight\",\n      \"time\": \"0:59\"\n    }\n  ]\n}", "idx": 31798}
{"context": "CREATE TABLE table_19698421_1 (total_votes INTEGER, year VARCHAR)", "sql_query": "select min(total_votes) from table_19698421_1 where year = '2005'", "question": "What was the total number of votes in the 2005 elections?", "data_table": "{\n  \"table_19698421_1\": [\n    {\n      \"total_votes\": 100,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 150,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 200,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 120,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 180,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 90,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 110,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 160,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 130,\n      \"year\": \"2005\"\n    },\n    {\n      \"total_votes\": 140,\n      \"year\": \"2005\"\n    }\n  ]\n}", "idx": 31799}
{"context": "CREATE TABLE table_name_92 (april_28 VARCHAR, mar_24 VARCHAR)", "sql_query": "select april_28 from table_name_92 where mar_24 = '17'", "question": "What is the April 28 rank when the Mar 24 is 17?", "data_table": "{\n  \"table_name_92\": [\n    {\n      \"april_28\": \"value1\",\n      \"mar_24\": \"17\"\n    },\n    {\n      \"april_28\": \"value2\",\n      \"mar_24\": \"17\"\n    },\n    {\n      \"april_28\": \"value3\",\n      \"mar_24\": \"18\"\n    },\n    {\n      \"april_28\": \"value4\",\n      \"mar_24\": \"19\"\n    },\n    {\n      \"april_28\": \"value5\",\n      \"mar_24\": \"20\"\n    },\n    {\n      \"april_28\": \"value6\",\n      \"mar_24\": \"21\"\n    },\n    {\n      \"april_28\": \"value7\",\n      \"mar_24\": \"22\"\n    },\n    {\n      \"april_28\": \"value8\",\n      \"mar_24\": \"23\"\n    },\n    {\n      \"april_28\": \"value9\",\n      \"mar_24\": \"24\"\n    },\n    {\n      \"april_28\": \"value10\",\n      \"mar_24\": \"25\"\n    }\n  ]\n}", "idx": 31800}
{"context": "CREATE TABLE table_18600760_20 (ansi_code VARCHAR, latitude VARCHAR)", "sql_query": "select count(ansi_code) from table_18600760_20 where latitude = '46.415037'", "question": "How many ansi codes are there for longitude 46.415037?", "data_table": "{\n  \"table_18600760_20\": [\n    {\n      \"ansi_code\": \"a123\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"b456\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"c789\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"d012\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"e345\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"f678\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"g901\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"h234\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"i567\",\n      \"latitude\": \"46.415037\"\n    },\n    {\n      \"ansi_code\": \"j890\",\n      \"latitude\": \"46.415037\"\n    }\n  ]\n}", "idx": 31802}
{"context": "CREATE TABLE has_pet (stuid VARCHAR, petid VARCHAR); CREATE TABLE pets (petid VARCHAR, pettype VARCHAR); CREATE TABLE student (stuid VARCHAR, sex VARCHAR)", "sql_query": "select count(*) from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t2.petid = t3.petid where t1.sex = 'f' and t3.pettype = 'dog'", "question": "Find the number of dog pets that are raised by female students (with sex F).", "data_table": "{\n  \"has_pet\": [\n    {\n      \"stuid\": \"1\",\n      \"petid\": \"101\"\n    },\n    {\n      \"stuid\": \"1\",\n      \"petid\": \"102\"\n    },\n    {\n      \"stuid\": \"2\",\n      \"petid\": \"103\"\n    },\n    {\n      \"stuid\": \"2\",\n      \"petid\": \"104\"\n    },\n    {\n      \"stuid\": \"3\",\n      \"petid\": \"105\"\n    },\n    {\n      \"stuid\": \"3\",\n      \"petid\": \"106\"\n    },\n    {\n      \"stuid\": \"4\",\n      \"petid\": \"107\"\n    },\n    {\n      \"stuid\": \"4\",\n      \"petid\": \"108\"\n    },\n    {\n      \"stuid\": \"5\",\n      \"petid\": \"109\"\n    },\n    {\n      \"stuid\": \"5\",\n      \"petid\": \"110\"\n    }\n  ],\n  \"pets\": [\n    {\n      \"petid\": \"101\",\n      \"pettype\": \"dog\"\n    },\n    {\n      \"petid\": \"102\",\n      \"pettype\": \"cat\"\n    },\n    {\n      \"petid\": \"103\",\n      \"pettype\": \"dog\"\n    },\n    {\n      \"petid\": \"104\",\n      \"pettype\": \"bird\"\n    },\n    {\n      \"petid\": \"105\",\n      \"pettype\": \"cat\"\n    },\n    {\n      \"petid\": \"106\",\n      \"pettype\": \"dog\"\n    },\n    {\n      \"petid\": \"107\",\n      \"pettype\": \"bird\"\n    },\n    {\n      \"petid\": \"108\",\n      \"pettype\": \"cat\"\n    },\n    {\n      \"petid\": \"109\",\n      \"pettype\": \"dog\"\n    },\n    {\n      \"petid\": \"110\",\n      \"pettype\": \"bird\"\n    }\n  ],\n  \"student\": [\n    {\n      \"stuid\": \"1\",\n      \"sex\": \"f\"\n    },\n    {\n      \"stuid\": \"2\",\n      \"sex\": \"m\"\n    },\n    {\n      \"stuid\": \"3\",\n      \"sex\": \"f\"\n    },\n    {\n      \"stuid\": \"4\",\n      \"sex\": \"m\"\n    },\n    {\n      \"stuid\": \"5\",\n      \"sex\": \"f\"\n    },\n    {\n      \"stuid\": \"6\",\n      \"sex\": \"m\"\n    },\n    {\n      \"stuid\": \"7\",\n      \"sex\": \"f\"\n    },\n    {\n      \"stuid\": \"8\",\n      \"sex\": \"m\"\n    },\n    {\n      \"stuid\": \"9\",\n      \"sex\": \"f\"\n    },\n    {\n      \"stuid\": \"10\",\n      \"sex\": \"m\"\n    }\n  ]\n}", "idx": 31803}
{"context": "CREATE TABLE table_24910733_2 (share VARCHAR, air_date VARCHAR)", "sql_query": "select count(share) from table_24910733_2 where air_date = 'october 17, 2007'", "question": "How many share figures are there for the episode that aired on October 17, 2007?", "data_table": "{\n  \"table_24910733_2\": [\n    {\n      \"share\": \"abc\",\n      \"air_date\": \"october 17, 2007\"\n    },\n    {\n      \"share\": \"nbc\",\n      \"air_date\": \"october 17, 2007\"\n    },\n    {\n      \"share\": \"cbs\",\n      \"air_date\": \"october 17, 2007\"\n    },\n    {\n      \"share\": \"fox\",\n      \"air_date\": \"october 17, 2007\"\n    },\n    {\n      \"share\": \"abc\",\n      \"air_date\": \"october 18, 2007\"\n    },\n    {\n      \"share\": \"nbc\",\n      \"air_date\": \"october 18, 2007\"\n    },\n    {\n      \"share\": \"cbs\",\n      \"air_date\": \"october 18, 2007\"\n    },\n    {\n      \"share\": \"fox\",\n      \"air_date\": \"october 18, 2007\"\n    },\n    {\n      \"share\": \"abc\",\n      \"air_date\": \"october 19, 2007\"\n    },\n    {\n      \"share\": \"nbc\",\n      \"air_date\": \"october 19, 2007\"\n    }\n  ]\n}", "idx": 31804}
{"context": "CREATE TABLE Products (Product_Name VARCHAR, Product_Price VARCHAR)", "sql_query": "select product_name from products order by product_price desc limit 1", "question": "What is the name of the product with the highest price?", "data_table": "{\n  \"products\": [\n    {\n      \"product_name\": \"iphone 12\",\n      \"product_price\": \"1200\"\n    },\n    {\n      \"product_name\": \"samsung galaxy s21\",\n      \"product_price\": \"1100\"\n    },\n    {\n      \"product_name\": \"google pixel 5\",\n      \"product_price\": \"1000\"\n    },\n    {\n      \"product_name\": \"oneplus 9 pro\",\n      \"product_price\": \"900\"\n    },\n    {\n      \"product_name\": \"xiaomi mi 11\",\n      \"product_price\": \"800\"\n    },\n    {\n      \"product_name\": \"sony xperia 1 iii\",\n      \"product_price\": \"1300\"\n    },\n    {\n      \"product_name\": \"lg velvet\",\n      \"product_price\": \"700\"\n    },\n    {\n      \"product_name\": \"motorola edge+\",\n      \"product_price\": \"950\"\n    },\n    {\n      \"product_name\": \"nokia 8.3\",\n      \"product_price\": \"600\"\n    },\n    {\n      \"product_name\": \"huawei p40 pro\",\n      \"product_price\": \"850\"\n    }\n  ]\n}", "idx": 31805}
{"context": "CREATE TABLE table_name_37 (runner_s__up VARCHAR, date VARCHAR)", "sql_query": "select runner_s__up from table_name_37 where date = 'may 24, 1999'", "question": "Who is Runner(s)-up that has a Date of may 24, 1999?", "data_table": "{\n  \"table_name_37\": [\n    {\n      \"runner_s__up\": \"john\",\n      \"date\": \"may 24, 1999\"\n    },\n    {\n      \"runner_s__up\": \"sarah\",\n      \"date\": \"may 24, 1999\"\n    },\n    {\n      \"runner_s__up\": \"michael\",\n      \"date\": \"may 25, 1999\"\n    },\n    {\n      \"runner_s__up\": \"emily\",\n      \"date\": \"may 25, 1999\"\n    },\n    {\n      \"runner_s__up\": \"david\",\n      \"date\": \"may 26, 1999\"\n    },\n    {\n      \"runner_s__up\": \"jessica\",\n      \"date\": \"may 26, 1999\"\n    },\n    {\n      \"runner_s__up\": \"daniel\",\n      \"date\": \"may 27, 1999\"\n    },\n    {\n      \"runner_s__up\": \"olivia\",\n      \"date\": \"may 27, 1999\"\n    },\n    {\n      \"runner_s__up\": \"matthew\",\n      \"date\": \"may 28, 1999\"\n    },\n    {\n      \"runner_s__up\": \"sophia\",\n      \"date\": \"may 28, 1999\"\n    }\n  ]\n}", "idx": 31806}
{"context": "CREATE TABLE table_name_60 (builder VARCHAR, country VARCHAR, ship VARCHAR)", "sql_query": "select builder from table_name_60 where country = 'united kingdom' and ship = 'gannet'", "question": "Who was the builder of Gannet from the United Kingdom?", "data_table": "{\n  \"table_name_60\": [\n    {\n      \"builder\": \"abc shipbuilders\",\n      \"country\": \"united kingdom\",\n      \"ship\": \"gannet\"\n    },\n    {\n      \"builder\": \"xyz shipworks\",\n      \"country\": \"united kingdom\",\n      \"ship\": \"albatross\"\n    },\n    {\n      \"builder\": \"pqr shipyards\",\n      \"country\": \"united states\",\n      \"ship\": \"pelican\"\n    },\n    {\n      \"builder\": \"lmn marine\",\n      \"country\": \"canada\",\n      \"ship\": \"falcon\"\n    },\n    {\n      \"builder\": \"def shipbuilding\",\n      \"country\": \"germany\",\n      \"ship\": \"eagle\"\n    },\n    {\n      \"builder\": \"jkl shipbuilders\",\n      \"country\": \"australia\",\n      \"ship\": \"hawk\"\n    },\n    {\n      \"builder\": \"mno shipyards\",\n      \"country\": \"france\",\n      \"ship\": \"osprey\"\n    },\n    {\n      \"builder\": \"ghi marine\",\n      \"country\": \"italy\",\n      \"ship\": \"seagull\"\n    },\n    {\n      \"builder\": \"rst shipworks\",\n      \"country\": \"spain\",\n      \"ship\": \"condor\"\n    },\n    {\n      \"builder\": \"uvw shipbuilding\",\n      \"country\": \"japan\",\n      \"ship\": \"vulture\"\n    }\n  ]\n}", "idx": 31807}
{"context": "CREATE TABLE table_name_92 (week VARCHAR, away_team VARCHAR)", "sql_query": "select week from table_name_92 where away_team = 'auckland'", "question": "In what week was the away team Auckland?", "data_table": "{\n  \"table_name_92\": [\n    {\n      \"week\": \"week 1\",\n      \"away_team\": \"auckland\"\n    },\n    {\n      \"week\": \"week 2\",\n      \"away_team\": \"wellington\"\n    },\n    {\n      \"week\": \"week 3\",\n      \"away_team\": \"christchurch\"\n    },\n    {\n      \"week\": \"week 4\",\n      \"away_team\": \"dunedin\"\n    },\n    {\n      \"week\": \"week 5\",\n      \"away_team\": \"hamilton\"\n    },\n    {\n      \"week\": \"week 6\",\n      \"away_team\": \"nelson\"\n    },\n    {\n      \"week\": \"week 7\",\n      \"away_team\": \"queenstown\"\n    },\n    {\n      \"week\": \"week 8\",\n      \"away_team\": \"rotorua\"\n    },\n    {\n      \"week\": \"week 9\",\n      \"away_team\": \"tauranga\"\n    },\n    {\n      \"week\": \"week 10\",\n      \"away_team\": \"whangarei\"\n    }\n  ]\n}", "idx": 31809}
{"context": "CREATE TABLE table_25999087_2 (young_rider_classification VARCHAR, winner VARCHAR)", "sql_query": "select young_rider_classification from table_25999087_2 where winner = 'jelle vanendert'", "question": "Who is every young rider classification when Jelle Vanendert is the winner?", "data_table": "{\n  \"table_25999087_2\": [\n    {\n      \"young_rider_classification\": \"young\",\n      \"winner\": \"jelle vanendert\"\n    },\n    {\n      \"young_rider_classification\": \"elite\",\n      \"winner\": \"peter sagan\"\n    },\n    {\n      \"young_rider_classification\": \"young\",\n      \"winner\": \"julian alaphilippe\"\n    },\n    {\n      \"young_rider_classification\": \"elite\",\n      \"winner\": \"alejandro valverde\"\n    },\n    {\n      \"young_rider_classification\": \"young\",\n      \"winner\": \"egan bernal\"\n    },\n    {\n      \"young_rider_classification\": \"elite\",\n      \"winner\": \"vincenzo nibali\"\n    },\n    {\n      \"young_rider_classification\": \"young\",\n      \"winner\": \"tadej pogacar\"\n    },\n    {\n      \"young_rider_classification\": \"elite\",\n      \"winner\": \"chris froome\"\n    },\n    {\n      \"young_rider_classification\": \"young\",\n      \"winner\": \"remco evenepoel\"\n    },\n    {\n      \"young_rider_classification\": \"elite\",\n      \"winner\": \"geraint thomas\"\n    }\n  ]\n}", "idx": 31810}
{"context": "CREATE TABLE table_name_32 (round VARCHAR, opposition VARCHAR, attendance VARCHAR)", "sql_query": "select round from table_name_32 where opposition = 'adelaide united' and attendance = '18,345'", "question": "What round was adelaide united the opposition with an attendance of 18,345?", "data_table": "{\n  \"table_name_32\": [\n    {\n      \"round\": \"round 1\",\n      \"opposition\": \"adelaide united\",\n      \"attendance\": \"18,345\"\n    },\n    {\n      \"round\": \"round 2\",\n      \"opposition\": \"melbourne victory\",\n      \"attendance\": \"22,567\"\n    },\n    {\n      \"round\": \"round 3\",\n      \"opposition\": \"sydney fc\",\n      \"attendance\": \"19,876\"\n    },\n    {\n      \"round\": \"round 4\",\n      \"opposition\": \"western sydney wanderers\",\n      \"attendance\": \"17,892\"\n    },\n    {\n      \"round\": \"round 5\",\n      \"opposition\": \"brisbane roar\",\n      \"attendance\": \"20,123\"\n    },\n    {\n      \"round\": \"round 6\",\n      \"opposition\": \"perth glory\",\n      \"attendance\": \"16,789\"\n    },\n    {\n      \"round\": \"round 7\",\n      \"opposition\": \"newcastle jets\",\n      \"attendance\": \"18,456\"\n    },\n    {\n      \"round\": \"round 8\",\n      \"opposition\": \"central coast mariners\",\n      \"attendance\": \"15,678\"\n    },\n    {\n      \"round\": \"round 9\",\n      \"opposition\": \"wellington phoenix\",\n      \"attendance\": \"19,234\"\n    },\n    {\n      \"round\": \"round 10\",\n      \"opposition\": \"melbourne city\",\n      \"attendance\": \"21,345\"\n    }\n  ]\n}", "idx": 31811}
{"context": "CREATE TABLE table_216776_2 (population__2010_ VARCHAR, municipality VARCHAR)", "sql_query": "select count(population__2010_) from table_216776_2 where municipality = 'cavinti'", "question": "How many different counts of the population in Cavinti in 2010 are there?", "data_table": "{\n  \"table_216776_2\": [\n    {\n      \"population__2010_\": \"1000\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"2000\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"1500\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"3000\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"2500\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"1200\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"1800\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"2200\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"1700\",\n      \"municipality\": \"cavinti\"\n    },\n    {\n      \"population__2010_\": \"1300\",\n      \"municipality\": \"cavinti\"\n    }\n  ]\n}", "idx": 31812}
{"context": "CREATE TABLE table_name_55 (january VARCHAR, opponent VARCHAR)", "sql_query": "select january from table_name_55 where opponent = 'toronto maple leafs'", "question": "Which January has an Opponent of toronto maple leafs?", "data_table": "{\n  \"table_name_55\": [\n    {\n      \"january\": \"value1\",\n      \"opponent\": \"toronto maple leafs\"\n    },\n    {\n      \"january\": \"value2\",\n      \"opponent\": \"new york rangers\"\n    },\n    {\n      \"january\": \"value3\",\n      \"opponent\": \"boston bruins\"\n    },\n    {\n      \"january\": \"value4\",\n      \"opponent\": \"montreal canadiens\"\n    },\n    {\n      \"january\": \"value5\",\n      \"opponent\": \"ottawa senators\"\n    },\n    {\n      \"january\": \"value6\",\n      \"opponent\": \"buffalo sabres\"\n    },\n    {\n      \"january\": \"value7\",\n      \"opponent\": \"detroit red wings\"\n    },\n    {\n      \"january\": \"value8\",\n      \"opponent\": \"washington capitals\"\n    },\n    {\n      \"january\": \"value9\",\n      \"opponent\": \"pittsburgh penguins\"\n    },\n    {\n      \"january\": \"value10\",\n      \"opponent\": \"philadelphia flyers\"\n    }\n  ]\n}", "idx": 31813}
{"context": "CREATE TABLE table_name_46 (gershausen VARCHAR, willingshain VARCHAR, reckerode_ VARCHAR)", "sql_query": "select gershausen from table_name_46 where willingshain = '243' and reckerode_ * * * * = '224'", "question": "What Gershausen has a Willingshain of 243 and Reckerode of 224?", "data_table": "{\n  \"table_name_46\": [\n    {\n      \"gershausen\": \"abc\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"224\"\n    },\n    {\n      \"gershausen\": \"def\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"225\"\n    },\n    {\n      \"gershausen\": \"ghi\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"226\"\n    },\n    {\n      \"gershausen\": \"jkl\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"227\"\n    },\n    {\n      \"gershausen\": \"mno\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"228\"\n    },\n    {\n      \"gershausen\": \"pqr\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"229\"\n    },\n    {\n      \"gershausen\": \"stu\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"230\"\n    },\n    {\n      \"gershausen\": \"vwx\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"231\"\n    },\n    {\n      \"gershausen\": \"yz\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"232\"\n    },\n    {\n      \"gershausen\": \"123\",\n      \"willingshain\": \"243\",\n      \"reckerode_\": \"233\"\n    }\n  ]\n}", "idx": 31814}
{"context": "CREATE TABLE table_1346118_5 (result VARCHAR, incumbent VARCHAR)", "sql_query": "select result from table_1346118_5 where incumbent = 'clarence f. lea'", "question": "What was the result of the election when Clarence F. Lea was the incumbent?", "data_table": "{\n  \"table_1346118_5\": [\n    {\n      \"result\": \"success\",\n      \"incumbent\": \"clarence f. lea\"\n    },\n    {\n      \"result\": \"failure\",\n      \"incumbent\": \"john doe\"\n    },\n    {\n      \"result\": \"success\",\n      \"incumbent\": \"jane smith\"\n    },\n    {\n      \"result\": \"failure\",\n      \"incumbent\": \"michael brown\"\n    },\n    {\n      \"result\": \"success\",\n      \"incumbent\": \"sarah jones\"\n    },\n    {\n      \"result\": \"failure\",\n      \"incumbent\": \"robert wilson\"\n    },\n    {\n      \"result\": \"success\",\n      \"incumbent\": \"emily thompson\"\n    },\n    {\n      \"result\": \"failure\",\n      \"incumbent\": \"david miller\"\n    },\n    {\n      \"result\": \"success\",\n      \"incumbent\": \"lisa anderson\"\n    },\n    {\n      \"result\": \"failure\",\n      \"incumbent\": \"william taylor\"\n    }\n  ]\n}", "idx": 31816}
{"context": "CREATE TABLE table_name_86 (year_s__won VARCHAR, to_par VARCHAR)", "sql_query": "select year_s__won from table_name_86 where to_par = '+6'", "question": "In which years was the to par +6?", "data_table": "{\n  \"table_name_86\": [\n    {\n      \"year_s__won\": \"2015\",\n      \"to_par\": \"+2\"\n    },\n    {\n      \"year_s__won\": \"2016\",\n      \"to_par\": \"+6\"\n    },\n    {\n      \"year_s__won\": \"2017\",\n      \"to_par\": \"+4\"\n    },\n    {\n      \"year_s__won\": \"2018\",\n      \"to_par\": \"+1\"\n    },\n    {\n      \"year_s__won\": \"2019\",\n      \"to_par\": \"+6\"\n    },\n    {\n      \"year_s__won\": \"2020\",\n      \"to_par\": \"+3\"\n    },\n    {\n      \"year_s__won\": \"2021\",\n      \"to_par\": \"+5\"\n    },\n    {\n      \"year_s__won\": \"2022\",\n      \"to_par\": \"+2\"\n    },\n    {\n      \"year_s__won\": \"2023\",\n      \"to_par\": \"+6\"\n    },\n    {\n      \"year_s__won\": \"2024\",\n      \"to_par\": \"+4\"\n    }\n  ]\n}", "idx": 31817}
{"context": "CREATE TABLE table_name_48 (score_in_the_final VARCHAR, partnering VARCHAR)", "sql_query": "select score_in_the_final from table_name_48 where partnering = 'tessa price'", "question": "What was the final score for the match with a partnering of Tessa Price?", "data_table": "{\n  \"table_name_48\": [\n    {\n      \"score_in_the_final\": \"85\",\n      \"partnering\": \"tessa price\"\n    },\n    {\n      \"score_in_the_final\": \"92\",\n      \"partnering\": \"john doe\"\n    },\n    {\n      \"score_in_the_final\": \"78\",\n      \"partnering\": \"jane smith\"\n    },\n    {\n      \"score_in_the_final\": \"90\",\n      \"partnering\": \"tessa price\"\n    },\n    {\n      \"score_in_the_final\": \"88\",\n      \"partnering\": \"john doe\"\n    },\n    {\n      \"score_in_the_final\": \"79\",\n      \"partnering\": \"jane smith\"\n    },\n    {\n      \"score_in_the_final\": \"95\",\n      \"partnering\": \"tessa price\"\n    },\n    {\n      \"score_in_the_final\": \"87\",\n      \"partnering\": \"john doe\"\n    },\n    {\n      \"score_in_the_final\": \"81\",\n      \"partnering\": \"jane smith\"\n    },\n    {\n      \"score_in_the_final\": \"93\",\n      \"partnering\": \"tessa price\"\n    }\n  ]\n}", "idx": 31819}
{"context": "CREATE TABLE table_name_76 (constructor VARCHAR, rider VARCHAR)", "sql_query": "select constructor from table_name_76 where rider = 'marco melandri'", "question": "Who was Constructor for rider Marco Melandri?", "data_table": "{\n  \"table_name_76\": [\n    {\n      \"constructor\": \"ducati\",\n      \"rider\": \"marco melandri\"\n    },\n    {\n      \"constructor\": \"yamaha\",\n      \"rider\": \"valentino rossi\"\n    },\n    {\n      \"constructor\": \"honda\",\n      \"rider\": \"marc marquez\"\n    },\n    {\n      \"constructor\": \"suzuki\",\n      \"rider\": \"alex rins\"\n    },\n    {\n      \"constructor\": \"kawasaki\",\n      \"rider\": \"jonathan rea\"\n    },\n    {\n      \"constructor\": \"aprilia\",\n      \"rider\": \"andrea iannone\"\n    },\n    {\n      \"constructor\": \"ktm\",\n      \"rider\": \"pol espargaro\"\n    },\n    {\n      \"constructor\": \"bmw\",\n      \"rider\": \"tom sykes\"\n    },\n    {\n      \"constructor\": \"triumph\",\n      \"rider\": \"michael dunlop\"\n    },\n    {\n      \"constructor\": \"mv agusta\",\n      \"rider\": \"lorenzo zanetti\"\n    }\n  ]\n}", "idx": 31820}
{"context": "CREATE TABLE table_148386_2 (savoy_theatre_1888 VARCHAR, casino_theatre_1888 VARCHAR)", "sql_query": "select count(savoy_theatre_1888) from table_148386_2 where casino_theatre_1888 = 'george olmi'", "question": "What is the total of roles that George Olmi plays in Savoy & Casino Theatre 1888?", "data_table": "{\n  \"table_148386_2\": [\n    {\n      \"savoy_theatre_1888\": \"london\",\n      \"casino_theatre_1888\": \"paris\"\n    },\n    {\n      \"savoy_theatre_1888\": \"new york\",\n      \"casino_theatre_1888\": \"london\"\n    },\n    {\n      \"savoy_theatre_1888\": \"paris\",\n      \"casino_theatre_1888\": \"berlin\"\n    },\n    {\n      \"savoy_theatre_1888\": \"berlin\",\n      \"casino_theatre_1888\": \"new york\"\n    },\n    {\n      \"savoy_theatre_1888\": \"london\",\n      \"casino_theatre_1888\": \"paris\"\n    },\n    {\n      \"savoy_theatre_1888\": \"paris\",\n      \"casino_theatre_1888\": \"berlin\"\n    },\n    {\n      \"savoy_theatre_1888\": \"berlin\",\n      \"casino_theatre_1888\": \"new york\"\n    },\n    {\n      \"savoy_theatre_1888\": \"london\",\n      \"casino_theatre_1888\": \"paris\"\n    },\n    {\n      \"savoy_theatre_1888\": \"paris\",\n      \"casino_theatre_1888\": \"berlin\"\n    },\n    {\n      \"savoy_theatre_1888\": \"berlin\",\n      \"casino_theatre_1888\": \"new york\"\n    }\n  ]\n}", "idx": 31821}
{"context": "CREATE TABLE table_name_22 (record VARCHAR, method VARCHAR)", "sql_query": "select record from table_name_22 where method = 'tko (punches and elbows)'", "question": "What was the record when TKO (punches and elbows) was the method?", "data_table": "{\n  \"table_name_22\": [\n    {\n      \"record\": \"john doe\",\n      \"method\": \"tko (punches and elbows)\"\n    },\n    {\n      \"record\": \"jane smith\",\n      \"method\": \"submission (rear-naked choke)\"\n    },\n    {\n      \"record\": \"mike johnson\",\n      \"method\": \"decision (unanimous)\"\n    },\n    {\n      \"record\": \"sarah davis\",\n      \"method\": \"tko (doctor stoppage)\"\n    },\n    {\n      \"record\": \"david wilson\",\n      \"method\": \"submission (armbar)\"\n    },\n    {\n      \"record\": \"emily thompson\",\n      \"method\": \"knockout (head kick)\"\n    },\n    {\n      \"record\": \"alex brown\",\n      \"method\": \"submission (guillotine choke)\"\n    },\n    {\n      \"record\": \"jessica lee\",\n      \"method\": \"decision (split)\"\n    },\n    {\n      \"record\": \"ryan clark\",\n      \"method\": \"tko (ground and pound)\"\n    },\n    {\n      \"record\": \"olivia harris\",\n      \"method\": \"submission (triangle choke)\"\n    }\n  ]\n}", "idx": 31822}
{"context": "CREATE TABLE table_17839_1 (length VARCHAR, map_colour VARCHAR)", "sql_query": "select length from table_17839_1 where map_colour = 'turquoise'", "question": "When turquoise is the map colour what is the length?", "data_table": "{\n  \"table_17839_1\": [\n    {\n      \"length\": \"10 cm\",\n      \"map_colour\": \"turquoise\"\n    },\n    {\n      \"length\": \"15 cm\",\n      \"map_colour\": \"turquoise\"\n    },\n    {\n      \"length\": \"20 cm\",\n      \"map_colour\": \"blue\"\n    },\n    {\n      \"length\": \"25 cm\",\n      \"map_colour\": \"turquoise\"\n    },\n    {\n      \"length\": \"30 cm\",\n      \"map_colour\": \"green\"\n    },\n    {\n      \"length\": \"35 cm\",\n      \"map_colour\": \"turquoise\"\n    },\n    {\n      \"length\": \"40 cm\",\n      \"map_colour\": \"purple\"\n    },\n    {\n      \"length\": \"45 cm\",\n      \"map_colour\": \"turquoise\"\n    },\n    {\n      \"length\": \"50 cm\",\n      \"map_colour\": \"yellow\"\n    },\n    {\n      \"length\": \"55 cm\",\n      \"map_colour\": \"turquoise\"\n    }\n  ]\n}", "idx": 31823}
{"context": "CREATE TABLE table_28138035_4 (year_location VARCHAR, womens_singles VARCHAR)", "sql_query": "select year_location from table_28138035_4 where womens_singles = 'haruna fukuoka'", "question": "Name the year location for  haruna fukuoka", "data_table": "{\n  \"table_28138035_4\": [\n    {\n      \"year_location\": \"2019 tokyo\",\n      \"womens_singles\": \"haruna fukuoka\"\n    },\n    {\n      \"year_location\": \"2018 osaka\",\n      \"womens_singles\": \"sakura yamamoto\"\n    },\n    {\n      \"year_location\": \"2017 kyoto\",\n      \"womens_singles\": \"haruna fukuoka\"\n    },\n    {\n      \"year_location\": \"2016 tokyo\",\n      \"womens_singles\": \"ayumi nakamura\"\n    },\n    {\n      \"year_location\": \"2015 osaka\",\n      \"womens_singles\": \"haruna fukuoka\"\n    },\n    {\n      \"year_location\": \"2014 kyoto\",\n      \"womens_singles\": \"sakura yamamoto\"\n    },\n    {\n      \"year_location\": \"2013 tokyo\",\n      \"womens_singles\": \"ayumi nakamura\"\n    },\n    {\n      \"year_location\": \"2012 osaka\",\n      \"womens_singles\": \"haruna fukuoka\"\n    },\n    {\n      \"year_location\": \"2011 kyoto\",\n      \"womens_singles\": \"sakura yamamoto\"\n    },\n    {\n      \"year_location\": \"2010 tokyo\",\n      \"womens_singles\": \"ayumi nakamura\"\n    }\n  ]\n}", "idx": 31824}
{"context": "CREATE TABLE table_name_71 (conference VARCHAR, season VARCHAR)", "sql_query": "select conference from table_name_71 where season = '1967\u201368'", "question": "What is the Conference for the 1967\u201368 season?", "data_table": "{\n  \"table_name_71\": [\n    {\n      \"conference\": \"eastern\",\n      \"season\": \"1967\u201368\"\n    },\n    {\n      \"conference\": \"western\",\n      \"season\": \"1967\u201368\"\n    },\n    {\n      \"conference\": \"eastern\",\n      \"season\": \"1968\u201369\"\n    },\n    {\n      \"conference\": \"western\",\n      \"season\": \"1968\u201369\"\n    },\n    {\n      \"conference\": \"eastern\",\n      \"season\": \"1969\u201370\"\n    },\n    {\n      \"conference\": \"western\",\n      \"season\": \"1969\u201370\"\n    },\n    {\n      \"conference\": \"eastern\",\n      \"season\": \"1970\u201371\"\n    },\n    {\n      \"conference\": \"western\",\n      \"season\": \"1970\u201371\"\n    },\n    {\n      \"conference\": \"eastern\",\n      \"season\": \"1971\u201372\"\n    },\n    {\n      \"conference\": \"western\",\n      \"season\": \"1971\u201372\"\n    }\n  ]\n}", "idx": 31825}
{"context": "CREATE TABLE table_name_15 (away_team VARCHAR, venue VARCHAR)", "sql_query": "select away_team as score from table_name_15 where venue = 'junction oval'", "question": "When the VFL played at Junction Oval what was the away score?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"away_team\": \"team a\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team b\",\n      \"venue\": \"mcg\"\n    },\n    {\n      \"away_team\": \"team c\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team d\",\n      \"venue\": \"scg\"\n    },\n    {\n      \"away_team\": \"team e\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team f\",\n      \"venue\": \"gabba\"\n    },\n    {\n      \"away_team\": \"team g\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team h\",\n      \"venue\": \"adelaide oval\"\n    },\n    {\n      \"away_team\": \"team i\",\n      \"venue\": \"junction oval\"\n    },\n    {\n      \"away_team\": \"team j\",\n      \"venue\": \"optus stadium\"\n    }\n  ]\n}", "idx": 31826}
{"context": "CREATE TABLE table_name_51 (first_class_team VARCHAR, player VARCHAR)", "sql_query": "select first_class_team from table_name_51 where player = 'sanath jayasuriya'", "question": "What first class team does sanath jayasuriya play for?", "data_table": "{\n  \"table_name_51\": [\n    {\n      \"first_class_team\": \"sri lanka\",\n      \"player\": \"sanath jayasuriya\"\n    },\n    {\n      \"first_class_team\": \"australia\",\n      \"player\": \"ricky ponting\"\n    },\n    {\n      \"first_class_team\": \"india\",\n      \"player\": \"sachin tendulkar\"\n    },\n    {\n      \"first_class_team\": \"england\",\n      \"player\": \"andrew flintoff\"\n    },\n    {\n      \"first_class_team\": \"south africa\",\n      \"player\": \"jacques kallis\"\n    },\n    {\n      \"first_class_team\": \"pakistan\",\n      \"player\": \"wasim akram\"\n    },\n    {\n      \"first_class_team\": \"west indies\",\n      \"player\": \"brian lara\"\n    },\n    {\n      \"first_class_team\": \"new zealand\",\n      \"player\": \"daniel vettori\"\n    },\n    {\n      \"first_class_team\": \"bangladesh\",\n      \"player\": \"shakib al hasan\"\n    },\n    {\n      \"first_class_team\": \"zimbabwe\",\n      \"player\": \"heath streak\"\n    }\n  ]\n}", "idx": 31827}
{"context": "CREATE TABLE table_name_7 (score VARCHAR, team VARCHAR)", "sql_query": "select score from table_name_7 where team = 'indiana'", "question": "What is Score, when Team is \"Indiana\"?", "data_table": "{\n  \"table_name_7\": [\n    {\n      \"score\": \"85\",\n      \"team\": \"indiana\"\n    },\n    {\n      \"score\": \"92\",\n      \"team\": \"michigan\"\n    },\n    {\n      \"score\": \"78\",\n      \"team\": \"indiana\"\n    },\n    {\n      \"score\": \"89\",\n      \"team\": \"ohio\"\n    },\n    {\n      \"score\": \"76\",\n      \"team\": \"indiana\"\n    },\n    {\n      \"score\": \"95\",\n      \"team\": \"michigan\"\n    },\n    {\n      \"score\": \"81\",\n      \"team\": \"ohio\"\n    },\n    {\n      \"score\": \"88\",\n      \"team\": \"indiana\"\n    },\n    {\n      \"score\": \"79\",\n      \"team\": \"ohio\"\n    },\n    {\n      \"score\": \"90\",\n      \"team\": \"michigan\"\n    }\n  ]\n}", "idx": 31828}
{"context": "CREATE TABLE table_10848177_1 (song VARCHAR, length VARCHAR)", "sql_query": "select song from table_10848177_1 where length = '3:05'", "question": "What song has a length of 3:05?", "data_table": "{\n  \"table_10848177_1\": [\n    {\n      \"song\": \"song a\",\n      \"length\": \"3:05\"\n    },\n    {\n      \"song\": \"song b\",\n      \"length\": \"2:45\"\n    },\n    {\n      \"song\": \"song c\",\n      \"length\": \"4:10\"\n    },\n    {\n      \"song\": \"song d\",\n      \"length\": \"3:05\"\n    },\n    {\n      \"song\": \"song e\",\n      \"length\": \"2:30\"\n    },\n    {\n      \"song\": \"song f\",\n      \"length\": \"3:45\"\n    },\n    {\n      \"song\": \"song g\",\n      \"length\": \"3:05\"\n    },\n    {\n      \"song\": \"song h\",\n      \"length\": \"2:55\"\n    },\n    {\n      \"song\": \"song i\",\n      \"length\": \"3:05\"\n    },\n    {\n      \"song\": \"song j\",\n      \"length\": \"3:20\"\n    }\n  ]\n}", "idx": 31830}
{"context": "CREATE TABLE table_name_34 (date VARCHAR, site VARCHAR)", "sql_query": "select date from table_name_34 where site = 'shriver field'", "question": "What is the Date if the Site is Shriver Field?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"date\": \"2022-01-01\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-02\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-03\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-04\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-05\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-06\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-07\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-08\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-09\",\n      \"site\": \"shriver field\"\n    },\n    {\n      \"date\": \"2022-01-10\",\n      \"site\": \"shriver field\"\n    }\n  ]\n}", "idx": 31831}
{"context": "CREATE TABLE table_name_15 (record VARCHAR, date VARCHAR)", "sql_query": "select record from table_name_15 where date = 'may 8'", "question": "What was the Record on the Date May 8?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"record\": \"record 1\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 2\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 3\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 4\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 5\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 6\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 7\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 8\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 9\",\n      \"date\": \"may 8\"\n    },\n    {\n      \"record\": \"record 10\",\n      \"date\": \"may 8\"\n    }\n  ]\n}", "idx": 31832}
{"context": "CREATE TABLE table_24565004_8 (goals\u00b9 VARCHAR, name VARCHAR)", "sql_query": "select goals\u00b9 from table_24565004_8 where name = 'xavier gravelaine'", "question": "What is the number of goals if the name is Xavier Gravelaine?", "data_table": "{\n  \"table_24565004_8\": [\n    {\n      \"goals\u00b9\": \"5\",\n      \"name\": \"xavier gravelaine\"\n    },\n    {\n      \"goals\u00b9\": \"3\",\n      \"name\": \"xavier gravelaine\"\n    },\n    {\n      \"goals\u00b9\": \"2\",\n      \"name\": \"xavier gravelaine\"\n    },\n    {\n      \"goals\u00b9\": \"1\",\n      \"name\": \"xavier gravelaine\"\n    },\n    {\n      \"goals\u00b9\": \"4\",\n      \"name\": \"xavier gravelaine\"\n    },\n    {\n      \"goals\u00b9\": \"2\",\n      \"name\": \"thierry henry\"\n    },\n    {\n      \"goals\u00b9\": \"3\",\n      \"name\": \"thierry henry\"\n    },\n    {\n      \"goals\u00b9\": \"1\",\n      \"name\": \"thierry henry\"\n    },\n    {\n      \"goals\u00b9\": \"4\",\n      \"name\": \"thierry henry\"\n    },\n    {\n      \"goals\u00b9\": \"2\",\n      \"name\": \"zinedine zidane\"\n    },\n    {\n      \"goals\u00b9\": \"3\",\n      \"name\": \"zinedine zidane\"\n    },\n    {\n      \"goals\u00b9\": \"1\",\n      \"name\": \"zinedine zidane\"\n    },\n    {\n      \"goals\u00b9\": \"4\",\n      \"name\": \"zinedine zidane\"\n    },\n    {\n      \"goals\u00b9\": \"5\",\n      \"name\": \"zinedine zidane\"\n    }\n  ]\n}", "idx": 31833}
{"context": "CREATE TABLE All_documents (Date_Stored VARCHAR, date_stored VARCHAR); CREATE TABLE Ref_calendar (day_Number VARCHAR, calendar_date VARCHAR)", "sql_query": "select t2.day_number, t1.date_stored from all_documents as t1 join ref_calendar as t2 on t1.date_stored = t2.calendar_date", "question": "What is the day Number and date of all the documents?", "data_table": "{\n  \"all_documents\": [\n    {\n      \"date_stored\": \"2022-01-01\",\n      \"date_stored\": \"2022-01-01\"\n    },\n    {\n      \"date_stored\": \"2022-01-02\",\n      \"date_stored\": \"2022-01-02\"\n    },\n    {\n      \"date_stored\": \"2022-01-03\",\n      \"date_stored\": \"2022-01-03\"\n    },\n    {\n      \"date_stored\": \"2022-01-04\",\n      \"date_stored\": \"2022-01-04\"\n    },\n    {\n      \"date_stored\": \"2022-01-05\",\n      \"date_stored\": \"2022-01-05\"\n    },\n    {\n      \"date_stored\": \"2022-01-06\",\n      \"date_stored\": \"2022-01-06\"\n    },\n    {\n      \"date_stored\": \"2022-01-07\",\n      \"date_stored\": \"2022-01-07\"\n    },\n    {\n      \"date_stored\": \"2022-01-08\",\n      \"date_stored\": \"2022-01-08\"\n    },\n    {\n      \"date_stored\": \"2022-01-09\",\n      \"date_stored\": \"2022-01-09\"\n    },\n    {\n      \"date_stored\": \"2022-01-10\",\n      \"date_stored\": \"2022-01-10\"\n    }\n  ],\n  \"ref_calendar\": [\n    {\n      \"day_number\": \"1\",\n      \"calendar_date\": \"2022-01-01\"\n    },\n    {\n      \"day_number\": \"2\",\n      \"calendar_date\": \"2022-01-02\"\n    },\n    {\n      \"day_number\": \"3\",\n      \"calendar_date\": \"2022-01-03\"\n    },\n    {\n      \"day_number\": \"4\",\n      \"calendar_date\": \"2022-01-04\"\n    },\n    {\n      \"day_number\": \"5\",\n      \"calendar_date\": \"2022-01-05\"\n    },\n    {\n      \"day_number\": \"6\",\n      \"calendar_date\": \"2022-01-06\"\n    },\n    {\n      \"day_number\": \"7\",\n      \"calendar_date\": \"2022-01-07\"\n    },\n    {\n      \"day_number\": \"8\",\n      \"calendar_date\": \"2022-01-08\"\n    },\n    {\n      \"day_number\": \"9\",\n      \"calendar_date\": \"2022-01-09\"\n    },\n    {\n      \"day_number\": \"10\",\n      \"calendar_date\": \"2022-01-10\"\n    }\n  ]\n}", "idx": 31834}
{"context": "CREATE TABLE table_name_96 (away_team VARCHAR, home_team VARCHAR)", "sql_query": "select away_team from table_name_96 where home_team = 'melbourne'", "question": "What was the away team that played against Melbourne?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"away_team\": \"team a\",\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"away_team\": \"team b\",\n      \"home_team\": \"sydney\"\n    },\n    {\n      \"away_team\": \"team c\",\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"away_team\": \"team d\",\n      \"home_team\": \"brisbane\"\n    },\n    {\n      \"away_team\": \"team e\",\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"away_team\": \"team f\",\n      \"home_team\": \"adelaide\"\n    },\n    {\n      \"away_team\": \"team g\",\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"away_team\": \"team h\",\n      \"home_team\": \"perth\"\n    },\n    {\n      \"away_team\": \"team i\",\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"away_team\": \"team j\",\n      \"home_team\": \"canberra\"\n    }\n  ]\n}", "idx": 31837}
{"context": "CREATE TABLE table_242785_1 (date_founded__founder VARCHAR, notes VARCHAR)", "sql_query": "select date_founded__founder from table_242785_1 where notes = 'prima italica:raised for aborted caucasus war'", "question": "when notes are prima italica:raised for aborted caucasus war, when was that founded?", "data_table": "{\n  \"table_242785_1\": [\n    {\n      \"date_founded__founder\": \"john smith\",\n      \"notes\": \"raised for aborted caucasus war\"\n    },\n    {\n      \"date_founded__founder\": \"jane doe\",\n      \"notes\": \"prima italica:raised for aborted caucasus war\"\n    },\n    {\n      \"date_founded__founder\": \"michael johnson\",\n      \"notes\": \"funding for humanitarian aid\"\n    },\n    {\n      \"date_founded__founder\": \"emily wilson\",\n      \"notes\": \"investment for renewable energy projects\"\n    },\n    {\n      \"date_founded__founder\": \"david thompson\",\n      \"notes\": \"donation for cancer research\"\n    },\n    {\n      \"date_founded__founder\": \"sarah davis\",\n      \"notes\": \"support for education initiatives\"\n    },\n    {\n      \"date_founded__founder\": \"robert anderson\",\n      \"notes\": \"contributed to disaster relief efforts\"\n    },\n    {\n      \"date_founded__founder\": \"olivia martinez\",\n      \"notes\": \"funding for arts and culture programs\"\n    },\n    {\n      \"date_founded__founder\": \"william taylor\",\n      \"notes\": \"sponsorship for sports events\"\n    },\n    {\n      \"date_founded__founder\": \"sophia brown\",\n      \"notes\": \"investment in technology startups\"\n    }\n  ]\n}", "idx": 31838}
{"context": "CREATE TABLE table_name_17 (opponent VARCHAR, loss VARCHAR)", "sql_query": "select opponent from table_name_17 where loss = 'b\u00e1ez (5-5)'", "question": "Which Opponent has a Loss of b\u00e1ez (5-5)?", "data_table": "{\n  \"table_name_17\": [\n    {\n      \"opponent\": \"red sox\",\n      \"loss\": \"b\u00e1ez (5-5)\"\n    },\n    {\n      \"opponent\": \"yankees\",\n      \"loss\": \"b\u00e1ez (5-5)\"\n    },\n    {\n      \"opponent\": \"astros\",\n      \"loss\": \"verlander (7-3)\"\n    },\n    {\n      \"opponent\": \"dodgers\",\n      \"loss\": \"kershaw (6-4)\"\n    },\n    {\n      \"opponent\": \"cubs\",\n      \"loss\": \"darvish (4-6)\"\n    },\n    {\n      \"opponent\": \"indians\",\n      \"loss\": \"bauer (8-2)\"\n    },\n    {\n      \"opponent\": \"braves\",\n      \"loss\": \"soroka (9-1)\"\n    },\n    {\n      \"opponent\": \"mets\",\n      \"loss\": \"degrom (10-0)\"\n    },\n    {\n      \"opponent\": \"nationals\",\n      \"loss\": \"scherzer (11-1)\"\n    },\n    {\n      \"opponent\": \"phillies\",\n      \"loss\": \"nola (12-2)\"\n    }\n  ]\n}", "idx": 31839}
{"context": "CREATE TABLE table_name_89 (grid INTEGER, rider VARCHAR)", "sql_query": "select max(grid) from table_name_89 where rider = 'gregorio lavilla'", "question": "What is the highest grid that has gregorio lavilla as the rider?", "data_table": "{\n  \"table_name_89\": [\n    {\n      \"grid\": 1,\n      \"rider\": \"gregorio lavilla\"\n    },\n    {\n      \"grid\": 2,\n      \"rider\": \"john doe\"\n    },\n    {\n      \"grid\": 3,\n      \"rider\": \"jane smith\"\n    },\n    {\n      \"grid\": 4,\n      \"rider\": \"michael johnson\"\n    },\n    {\n      \"grid\": 5,\n      \"rider\": \"sarah thompson\"\n    },\n    {\n      \"grid\": 6,\n      \"rider\": \"gregorio lavilla\"\n    },\n    {\n      \"grid\": 7,\n      \"rider\": \"james brown\"\n    },\n    {\n      \"grid\": 8,\n      \"rider\": \"emily wilson\"\n    },\n    {\n      \"grid\": 9,\n      \"rider\": \"gregorio lavilla\"\n    },\n    {\n      \"grid\": 10,\n      \"rider\": \"alexander jones\"\n    }\n  ]\n}", "idx": 31841}
{"context": "CREATE TABLE table_name_78 (status VARCHAR, name VARCHAR)", "sql_query": "select status from table_name_78 where name = 'paleopanax'", "question": "What status has paleopanax as the name?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"status\": \"active\",\n      \"name\": \"paleopanax\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"name\": \"john_doe\"\n    },\n    {\n      \"status\": \"active\",\n      \"name\": \"jane_smith\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"name\": \"paleopanax\"\n    },\n    {\n      \"status\": \"active\",\n      \"name\": \"michael_brown\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"name\": \"sarah_jones\"\n    },\n    {\n      \"status\": \"active\",\n      \"name\": \"peter_wilson\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"name\": \"paleopanax\"\n    },\n    {\n      \"status\": \"active\",\n      \"name\": \"lisa_johnson\"\n    },\n    {\n      \"status\": \"inactive\",\n      \"name\": \"paleopanax\"\n    }\n  ]\n}", "idx": 31842}
{"context": "CREATE TABLE table_name_53 (record VARCHAR, arena VARCHAR, loss VARCHAR)", "sql_query": "select record from table_name_53 where arena = 'arrowhead pond of anaheim' and loss = 'bryzgalov (10\u201311\u20131)'", "question": "What is the record at Arrowhead Pond of Anaheim, when the loss was Bryzgalov (10\u201311\u20131)?", "data_table": "{\n  \"table_name_53\": [\n    {\n      \"record\": \"w (12\u201310\u20131)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"l (8\u201314\u20132)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"w (15\u20137\u20133)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"l (9\u201312\u20132)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"w (11\u20139\u20134)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"l (7\u201315\u20132)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"w (14\u20138\u20132)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"l (10\u201311\u20133)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"w (13\u20139\u20131)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    },\n    {\n      \"record\": \"l (6\u201316\u20132)\",\n      \"arena\": \"arrowhead pond of anaheim\",\n      \"loss\": \"bryzgalov (10\u201311\u20131)\"\n    }\n  ]\n}", "idx": 31843}
{"context": "CREATE TABLE table_name_34 (county VARCHAR, median_family_income VARCHAR)", "sql_query": "select county from table_name_34 where median_family_income = '$46,426'", "question": "Which country has a $46,426 median family income?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"county\": \"los angeles\",\n      \"median_family_income\": \"$46,426\"\n    },\n    {\n      \"county\": \"san francisco\",\n      \"median_family_income\": \"$52,837\"\n    },\n    {\n      \"county\": \"san diego\",\n      \"median_family_income\": \"$42,910\"\n    },\n    {\n      \"county\": \"orange\",\n      \"median_family_income\": \"$49,621\"\n    },\n    {\n      \"county\": \"santa clara\",\n      \"median_family_income\": \"$56,293\"\n    },\n    {\n      \"county\": \"alameda\",\n      \"median_family_income\": \"$45,128\"\n    },\n    {\n      \"county\": \"sacramento\",\n      \"median_family_income\": \"$39,752\"\n    },\n    {\n      \"county\": \"fresno\",\n      \"median_family_income\": \"$36,891\"\n    },\n    {\n      \"county\": \"san bernardino\",\n      \"median_family_income\": \"$38,209\"\n    },\n    {\n      \"county\": \"contra costa\",\n      \"median_family_income\": \"$51,482\"\n    }\n  ]\n}", "idx": 31844}
{"context": "CREATE TABLE table_name_80 (mountains_classification VARCHAR, general_classification VARCHAR, team_classification VARCHAR)", "sql_query": "select mountains_classification from table_name_80 where general_classification = 'mark cavendish' and team_classification = 'garmin-chipotle-h30'", "question": "What mountains classification corresponds to Mark Cavendish and the Garmin-Chipotle-H30?", "data_table": "{\n  \"table_name_80\": [\n    {\n      \"mountains_classification\": \"1st\",\n      \"general_classification\": \"mark cavendish\",\n      \"team_classification\": \"garmin-chipotle-h30\"\n    },\n    {\n      \"mountains_classification\": \"2nd\",\n      \"general_classification\": \"peter sagan\",\n      \"team_classification\": \"team sky\"\n    },\n    {\n      \"mountains_classification\": \"3rd\",\n      \"general_classification\": \"chris froome\",\n      \"team_classification\": \"movistar team\"\n    },\n    {\n      \"mountains_classification\": \"4th\",\n      \"general_classification\": \"alejandro valverde\",\n      \"team_classification\": \"bora-hansgrohe\"\n    },\n    {\n      \"mountains_classification\": \"5th\",\n      \"general_classification\": \"geraint thomas\",\n      \"team_classification\": \"team ineos\"\n    },\n    {\n      \"mountains_classification\": \"6th\",\n      \"general_classification\": \"nairo quintana\",\n      \"team_classification\": \"ag2r la mondiale\"\n    },\n    {\n      \"mountains_classification\": \"7th\",\n      \"general_classification\": \"vincenzo nibali\",\n      \"team_classification\": \"team jumbo-visma\"\n    },\n    {\n      \"mountains_classification\": \"8th\",\n      \"general_classification\": \"richie porte\",\n      \"team_classification\": \"deceuninck-quick-step\"\n    },\n    {\n      \"mountains_classification\": \"9th\",\n      \"general_classification\": \"romain bardet\",\n      \"team_classification\": \"groupama-fdj\"\n    },\n    {\n      \"mountains_classification\": \"10th\",\n      \"general_classification\": \"mikel landa\",\n      \"team_classification\": \"team sunweb\"\n    }\n  ]\n}", "idx": 31846}
{"context": "CREATE TABLE Video_games (gtype VARCHAR)", "sql_query": "select count(distinct gtype) from video_games", "question": "How many video game types exist?", "data_table": "{\n  \"video_games\": [\n    {\n      \"gtype\": \"action\"\n    },\n    {\n      \"gtype\": \"adventure\"\n    },\n    {\n      \"gtype\": \"rpg\"\n    },\n    {\n      \"gtype\": \"simulation\"\n    },\n    {\n      \"gtype\": \"strategy\"\n    },\n    {\n      \"gtype\": \"sports\"\n    },\n    {\n      \"gtype\": \"puzzle\"\n    },\n    {\n      \"gtype\": \"shooter\"\n    },\n    {\n      \"gtype\": \"platformer\"\n    },\n    {\n      \"gtype\": \"racing\"\n    }\n  ]\n}", "idx": 31848}
{"context": "CREATE TABLE table_28352386_1 (emma_bunton VARCHAR, total VARCHAR)", "sql_query": "select emma_bunton from table_28352386_1 where total = '22'", "question": "What was Emma Bunton's score for the performance with a total score of 22?", "data_table": "{\n  \"table_28352386_1\": [\n    {\n      \"emma_bunton\": \"emma\",\n      \"total\": \"22\"\n    },\n    {\n      \"emma_bunton\": \"melanie\",\n      \"total\": \"18\"\n    },\n    {\n      \"emma_bunton\": \"geri\",\n      \"total\": \"22\"\n    },\n    {\n      \"emma_bunton\": \"victoria\",\n      \"total\": \"15\"\n    },\n    {\n      \"emma_bunton\": \"melanie\",\n      \"total\": \"22\"\n    },\n    {\n      \"emma_bunton\": \"emma\",\n      \"total\": \"20\"\n    },\n    {\n      \"emma_bunton\": \"geri\",\n      \"total\": \"18\"\n    },\n    {\n      \"emma_bunton\": \"victoria\",\n      \"total\": \"22\"\n    },\n    {\n      \"emma_bunton\": \"melanie\",\n      \"total\": \"20\"\n    },\n    {\n      \"emma_bunton\": \"emma\",\n      \"total\": \"15\"\n    }\n  ]\n}", "idx": 31850}
{"context": "CREATE TABLE table_name_78 (visitor VARCHAR, date VARCHAR)", "sql_query": "select visitor from table_name_78 where date = 'april 14'", "question": "WHo is the Visitor on april 14?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"visitor\": \"john\",\n      \"date\": \"april 14\"\n    },\n    {\n      \"visitor\": \"alice\",\n      \"date\": \"april 14\"\n    },\n    {\n      \"visitor\": \"bob\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"visitor\": \"emily\",\n      \"date\": \"april 15\"\n    },\n    {\n      \"visitor\": \"michael\",\n      \"date\": \"april 16\"\n    },\n    {\n      \"visitor\": \"sophia\",\n      \"date\": \"april 16\"\n    },\n    {\n      \"visitor\": \"david\",\n      \"date\": \"april 17\"\n    },\n    {\n      \"visitor\": \"olivia\",\n      \"date\": \"april 17\"\n    },\n    {\n      \"visitor\": \"daniel\",\n      \"date\": \"april 18\"\n    },\n    {\n      \"visitor\": \"emma\",\n      \"date\": \"april 18\"\n    }\n  ]\n}", "idx": 31851}
{"context": "CREATE TABLE table_name_29 (episode__number INTEGER, demo VARCHAR)", "sql_query": "select min(episode__number) from table_name_29 where demo = '0.7/3'", "question": "Which episode with a demo of 0.7/3 was the lowest?", "data_table": "{\n  \"table_name_29\": [\n    {\n      \"episode__number\": 1,\n      \"demo\": \"0.7/3\"\n    },\n    {\n      \"episode__number\": 2,\n      \"demo\": \"0.5/2\"\n    },\n    {\n      \"episode__number\": 3,\n      \"demo\": \"0.9/4\"\n    },\n    {\n      \"episode__number\": 4,\n      \"demo\": \"0.6/3\"\n    },\n    {\n      \"episode__number\": 5,\n      \"demo\": \"0.8/4\"\n    },\n    {\n      \"episode__number\": 6,\n      \"demo\": \"0.4/2\"\n    },\n    {\n      \"episode__number\": 7,\n      \"demo\": \"0.7/4\"\n    },\n    {\n      \"episode__number\": 8,\n      \"demo\": \"0.3/1\"\n    },\n    {\n      \"episode__number\": 9,\n      \"demo\": \"0.6/2\"\n    },\n    {\n      \"episode__number\": 10,\n      \"demo\": \"0.9/3\"\n    }\n  ]\n}", "idx": 31852}
{"context": "CREATE TABLE table_22654073_6 (team VARCHAR, record VARCHAR)", "sql_query": "select team from table_22654073_6 where record = '3-2'", "question": "Name the team for record 3-2", "data_table": "{\n  \"table_22654073_6\": [\n    {\n      \"team\": \"team a\",\n      \"record\": \"3-2\"\n    },\n    {\n      \"team\": \"team b\",\n      \"record\": \"2-3\"\n    },\n    {\n      \"team\": \"team c\",\n      \"record\": \"4-1\"\n    },\n    {\n      \"team\": \"team d\",\n      \"record\": \"3-2\"\n    },\n    {\n      \"team\": \"team e\",\n      \"record\": \"1-4\"\n    },\n    {\n      \"team\": \"team f\",\n      \"record\": \"3-2\"\n    },\n    {\n      \"team\": \"team g\",\n      \"record\": \"2-3\"\n    },\n    {\n      \"team\": \"team h\",\n      \"record\": \"3-2\"\n    },\n    {\n      \"team\": \"team i\",\n      \"record\": \"4-1\"\n    },\n    {\n      \"team\": \"team j\",\n      \"record\": \"2-3\"\n    }\n  ]\n}", "idx": 31853}
{"context": "CREATE TABLE table_name_43 (score VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_43 where date = 'september 14'", "question": "what was the score on september 14", "data_table": "{\n  \"table_name_43\": [\n    {\n      \"score\": \"85\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"92\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"78\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"90\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"79\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"88\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"83\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"95\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"87\",\n      \"date\": \"september 14\"\n    },\n    {\n      \"score\": \"91\",\n      \"date\": \"september 14\"\n    }\n  ]\n}", "idx": 31854}
{"context": "CREATE TABLE table_name_12 (nat VARCHAR, transfer_fee VARCHAR, type VARCHAR)", "sql_query": "select nat from table_name_12 where transfer_fee = 'free' and type = 'mutual consent loan return'", "question": "What is the Nat with a mutual consent loan return and has a free transfer fee?", "data_table": "{\n  \"table_name_12\": [\n    {\n      \"nat\": \"england\",\n      \"transfer_fee\": \"free\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"spain\",\n      \"transfer_fee\": \"free\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"france\",\n      \"transfer_fee\": \"paid\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"germany\",\n      \"transfer_fee\": \"paid\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"italy\",\n      \"transfer_fee\": \"free\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"brazil\",\n      \"transfer_fee\": \"paid\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"argentina\",\n      \"transfer_fee\": \"free\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"portugal\",\n      \"transfer_fee\": \"paid\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"netherlands\",\n      \"transfer_fee\": \"free\",\n      \"type\": \"mutual consent loan return\"\n    },\n    {\n      \"nat\": \"belgium\",\n      \"transfer_fee\": \"paid\",\n      \"type\": \"mutual consent loan return\"\n    }\n  ]\n}", "idx": 31855}
{"context": "CREATE TABLE table_name_98 (pole_position VARCHAR, grand_prix VARCHAR)", "sql_query": "select pole_position from table_name_98 where grand_prix = 'portuguese grand prix'", "question": "What is the Pole Position of the Portuguese Grand Prix?", "data_table": "{\n  \"table_name_98\": [\n    {\n      \"pole_position\": \"lewis hamilton\",\n      \"grand_prix\": \"portuguese grand prix\"\n    },\n    {\n      \"pole_position\": \"valtteri bottas\",\n      \"grand_prix\": \"portuguese grand prix\"\n    },\n    {\n      \"pole_position\": \"max verstappen\",\n      \"grand_prix\": \"portuguese grand prix\"\n    },\n    {\n      \"pole_position\": \"charles leclerc\",\n      \"grand_prix\": \"monaco grand prix\"\n    },\n    {\n      \"pole_position\": \"sebastian vettel\",\n      \"grand_prix\": \"monaco grand prix\"\n    },\n    {\n      \"pole_position\": \"daniel ricciardo\",\n      \"grand_prix\": \"monaco grand prix\"\n    },\n    {\n      \"pole_position\": \"lando norris\",\n      \"grand_prix\": \"british grand prix\"\n    },\n    {\n      \"pole_position\": \"carlos sainz jr.\",\n      \"grand_prix\": \"british grand prix\"\n    },\n    {\n      \"pole_position\": \"fernando alonso\",\n      \"grand_prix\": \"british grand prix\"\n    },\n    {\n      \"pole_position\": \"esteban ocon\",\n      \"grand_prix\": \"hungarian grand prix\"\n    },\n    {\n      \"pole_position\": \"sergio perez\",\n      \"grand_prix\": \"hungarian grand prix\"\n    },\n    {\n      \"pole_position\": \"lance stroll\",\n      \"grand_prix\": \"hungarian grand prix\"\n    }\n  ]\n}", "idx": 31857}
{"context": "CREATE TABLE table_name_74 (score VARCHAR, venue VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_74 where venue = 'valley parade' and date = '10/6/01'", "question": "What is the score at valley parade on 10/6/01?", "data_table": "{\n  \"table_name_74\": [\n    {\n      \"score\": \"3-1\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"2-0\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"1-2\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"4-3\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"0-0\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"2-1\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"1-0\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"3-2\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"2-2\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    },\n    {\n      \"score\": \"1-1\",\n      \"venue\": \"valley parade\",\n      \"date\": \"10/6/01\"\n    }\n  ]\n}", "idx": 31858}
{"context": "CREATE TABLE table_name_12 (hdtv VARCHAR, television_service VARCHAR)", "sql_query": "select hdtv from table_name_12 where television_service = 'r-light'", "question": "What is the HDTV status of the r-light television service?", "data_table": "{\n  \"table_name_12\": [\n    {\n      \"hdtv\": \"samsung\",\n      \"television_service\": \"r-light\"\n    },\n    {\n      \"hdtv\": \"lg\",\n      \"television_service\": \"r-light\"\n    },\n    {\n      \"hdtv\": \"sony\",\n      \"television_service\": \"r-dark\"\n    },\n    {\n      \"hdtv\": \"toshiba\",\n      \"television_service\": \"r-dark\"\n    },\n    {\n      \"hdtv\": \"panasonic\",\n      \"television_service\": \"r-light\"\n    },\n    {\n      \"hdtv\": \"sharp\",\n      \"television_service\": \"r-dark\"\n    },\n    {\n      \"hdtv\": \"vizio\",\n      \"television_service\": \"r-light\"\n    },\n    {\n      \"hdtv\": \"philips\",\n      \"television_service\": \"r-dark\"\n    },\n    {\n      \"hdtv\": \"hisense\",\n      \"television_service\": \"r-light\"\n    },\n    {\n      \"hdtv\": \"insignia\",\n      \"television_service\": \"r-dark\"\n    }\n  ]\n}", "idx": 31859}
{"context": "CREATE TABLE table_name_63 (release_price___usd__ VARCHAR, socket VARCHAR)", "sql_query": "select release_price___usd__ from table_name_63 where socket = 'without quickassist'", "question": "Socket of without quickassist has what release price?", "data_table": "{\n  \"table_name_63\": [\n    {\n      \"release_price___usd__\": \"100\",\n      \"socket\": \"without quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"200\",\n      \"socket\": \"without quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"150\",\n      \"socket\": \"with quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"250\",\n      \"socket\": \"with quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"300\",\n      \"socket\": \"without quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"400\",\n      \"socket\": \"with quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"350\",\n      \"socket\": \"without quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"500\",\n      \"socket\": \"with quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"450\",\n      \"socket\": \"without quickassist\"\n    },\n    {\n      \"release_price___usd__\": \"600\",\n      \"socket\": \"with quickassist\"\n    }\n  ]\n}", "idx": 31860}
{"context": "CREATE TABLE table_name_72 (school VARCHAR, player VARCHAR)", "sql_query": "select school from table_name_72 where player = 'delray brooks'", "question": "What school did delray brooks go to?", "data_table": "{\n  \"table_name_72\": [\n    {\n      \"school\": \"university of california\",\n      \"player\": \"john smith\"\n    },\n    {\n      \"school\": \"stanford university\",\n      \"player\": \"michael johnson\"\n    },\n    {\n      \"school\": \"university of texas\",\n      \"player\": \"delray brooks\"\n    },\n    {\n      \"school\": \"university of michigan\",\n      \"player\": \"david thompson\"\n    },\n    {\n      \"school\": \"duke university\",\n      \"player\": \"chris johnson\"\n    },\n    {\n      \"school\": \"university of north carolina\",\n      \"player\": \"robert davis\"\n    },\n    {\n      \"school\": \"university of kentucky\",\n      \"player\": \"andrew wilson\"\n    },\n    {\n      \"school\": \"university of kansas\",\n      \"player\": \"daniel brown\"\n    },\n    {\n      \"school\": \"university of arizona\",\n      \"player\": \"matthew taylor\"\n    },\n    {\n      \"school\": \"university of florida\",\n      \"player\": \"james anderson\"\n    }\n  ]\n}", "idx": 31861}
{"context": "CREATE TABLE table_16575609_1 (pick__number INTEGER, player VARCHAR)", "sql_query": "select min(pick__number) from table_16575609_1 where player = 'brendon labatte'", "question": "Where did Brendon Labatte get picked?", "data_table": "{\n  \"table_16575609_1\": [\n    {\n      \"pick__number\": 1,\n      \"player\": \"tom brady\"\n    },\n    {\n      \"pick__number\": 2,\n      \"player\": \"patrick mahomes\"\n    },\n    {\n      \"pick__number\": 3,\n      \"player\": \"aaron rodgers\"\n    },\n    {\n      \"pick__number\": 4,\n      \"player\": \"russell wilson\"\n    },\n    {\n      \"pick__number\": 5,\n      \"player\": \"lamar jackson\"\n    },\n    {\n      \"pick__number\": 6,\n      \"player\": \"drew brees\"\n    },\n    {\n      \"pick__number\": 7,\n      \"player\": \"deshaun watson\"\n    },\n    {\n      \"pick__number\": 8,\n      \"player\": \"kyler murray\"\n    },\n    {\n      \"pick__number\": 9,\n      \"player\": \"josh allen\"\n    },\n    {\n      \"pick__number\": 10,\n      \"player\": \"brendon labatte\"\n    }\n  ]\n}", "idx": 31862}
{"context": "CREATE TABLE table_25287007_2 (june_10_11 VARCHAR, november_3 VARCHAR)", "sql_query": "select june_10_11 from table_25287007_2 where november_3 = '153'", "question": "How many solar eclipse on June 10-11, while November 3 is 153?", "data_table": "{\n  \"table_25287007_2\": [\n    {\n      \"june_10_11\": \"value1\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value2\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value3\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value4\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value5\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value6\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value7\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value8\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value9\",\n      \"november_3\": \"153\"\n    },\n    {\n      \"june_10_11\": \"value10\",\n      \"november_3\": \"153\"\n    }\n  ]\n}", "idx": 31863}
{"context": "CREATE TABLE table_name_15 (time VARCHAR, event VARCHAR)", "sql_query": "select time from table_name_15 where event = 'call to arms i'", "question": "Which Time has an Event of call to arms i?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"time\": \"2022-01-01 09:00:00\",\n      \"event\": \"call to arms i\"\n    },\n    {\n      \"time\": \"2022-01-02 14:30:00\",\n      \"event\": \"call to arms i\"\n    },\n    {\n      \"time\": \"2022-01-03 18:45:00\",\n      \"event\": \"call to arms ii\"\n    },\n    {\n      \"time\": \"2022-01-04 10:15:00\",\n      \"event\": \"call to arms iii\"\n    },\n    {\n      \"time\": \"2022-01-05 16:20:00\",\n      \"event\": \"call to arms i\"\n    },\n    {\n      \"time\": \"2022-01-06 11:30:00\",\n      \"event\": \"call to arms ii\"\n    },\n    {\n      \"time\": \"2022-01-07 13:45:00\",\n      \"event\": \"call to arms iii\"\n    },\n    {\n      \"time\": \"2022-01-08 15:00:00\",\n      \"event\": \"call to arms ii\"\n    },\n    {\n      \"time\": \"2022-01-09 12:10:00\",\n      \"event\": \"call to arms i\"\n    },\n    {\n      \"time\": \"2022-01-10 17:30:00\",\n      \"event\": \"call to arms iii\"\n    }\n  ]\n}", "idx": 31865}
{"context": "CREATE TABLE table_name_86 (established VARCHAR, club VARCHAR)", "sql_query": "select count(established) from table_name_86 where club = 'lehigh valley storm'", "question": "What is the total number of the established club of Lehigh Valley Storm?", "data_table": "{\n  \"table_name_86\": [\n    {\n      \"established\": \"2010\",\n      \"club\": \"lehigh valley storm\"\n    },\n    {\n      \"established\": \"2005\",\n      \"club\": \"new york lightning\"\n    },\n    {\n      \"established\": \"2012\",\n      \"club\": \"boston blizzard\"\n    },\n    {\n      \"established\": \"2008\",\n      \"club\": \"philadelphia thunder\"\n    },\n    {\n      \"established\": \"2015\",\n      \"club\": \"washington hurricanes\"\n    },\n    {\n      \"established\": \"2011\",\n      \"club\": \"miami heatwave\"\n    },\n    {\n      \"established\": \"2007\",\n      \"club\": \"chicago tornadoes\"\n    },\n    {\n      \"established\": \"2014\",\n      \"club\": \"dallas cyclones\"\n    },\n    {\n      \"established\": \"2009\",\n      \"club\": \"los angeles lightning\"\n    },\n    {\n      \"established\": \"2013\",\n      \"club\": \"san francisco thunder\"\n    }\n  ]\n}", "idx": 31866}
{"context": "CREATE TABLE Accounts (customer_id VARCHAR)", "sql_query": "select count(distinct customer_id) from accounts", "question": "How many customers have an account?", "data_table": "{\n  \"accounts\": [\n    {\n      \"customer_id\": \"c001\"\n    },\n    {\n      \"customer_id\": \"c002\"\n    },\n    {\n      \"customer_id\": \"c003\"\n    },\n    {\n      \"customer_id\": \"c004\"\n    },\n    {\n      \"customer_id\": \"c005\"\n    },\n    {\n      \"customer_id\": \"c006\"\n    },\n    {\n      \"customer_id\": \"c007\"\n    },\n    {\n      \"customer_id\": \"c008\"\n    },\n    {\n      \"customer_id\": \"c009\"\n    },\n    {\n      \"customer_id\": \"c010\"\n    }\n  ]\n}", "idx": 31867}
{"context": "CREATE TABLE table_21536557_2 (name VARCHAR, time__cet_ VARCHAR)", "sql_query": "select name from table_21536557_2 where time__cet_ = '09:58'", "question": "Who is every name for time(cet) of 09:58?", "data_table": "{\n  \"table_21536557_2\": [\n    {\n      \"name\": \"john\",\n      \"time__cet_\": \"09:58\"\n    },\n    {\n      \"name\": \"alice\",\n      \"time__cet_\": \"10:15\"\n    },\n    {\n      \"name\": \"bob\",\n      \"time__cet_\": \"09:58\"\n    },\n    {\n      \"name\": \"emma\",\n      \"time__cet_\": \"11:30\"\n    },\n    {\n      \"name\": \"michael\",\n      \"time__cet_\": \"09:58\"\n    },\n    {\n      \"name\": \"sophia\",\n      \"time__cet_\": \"10:15\"\n    },\n    {\n      \"name\": \"david\",\n      \"time__cet_\": \"11:30\"\n    },\n    {\n      \"name\": \"olivia\",\n      \"time__cet_\": \"10:15\"\n    },\n    {\n      \"name\": \"daniel\",\n      \"time__cet_\": \"11:30\"\n    },\n    {\n      \"name\": \"emily\",\n      \"time__cet_\": \"09:58\"\n    }\n  ]\n}", "idx": 31868}
{"context": "CREATE TABLE table_name_21 (score VARCHAR, location_attendance VARCHAR, high_assists VARCHAR)", "sql_query": "select score from table_name_21 where location_attendance = 'groves high school' and high_assists = 'giovanni riley (9)'", "question": "What was the score for Groves High School when the high assist was Giovanni Riley (9)?", "data_table": "{\n  \"table_name_21\": [\n    {\n      \"score\": \"85\",\n      \"location_attendance\": \"groves high school\",\n      \"high_assists\": \"giovanni riley (9)\"\n    },\n    {\n      \"score\": \"92\",\n      \"location_attendance\": \"groves high school\",\n      \"high_assists\": \"jacob smith (7)\"\n    },\n    {\n      \"score\": \"78\",\n      \"location_attendance\": \"oakland high school\",\n      \"high_assists\": \"emily johnson (5)\"\n    },\n    {\n      \"score\": \"89\",\n      \"location_attendance\": \"oakland high school\",\n      \"high_assists\": \"samantha brown (8)\"\n    },\n    {\n      \"score\": \"76\",\n      \"location_attendance\": \"groves high school\",\n      \"high_assists\": \"michael wilson (6)\"\n    },\n    {\n      \"score\": \"83\",\n      \"location_attendance\": \"oakland high school\",\n      \"high_assists\": \"jessica thompson (4)\"\n    },\n    {\n      \"score\": \"91\",\n      \"location_attendance\": \"groves high school\",\n      \"high_assists\": \"david anderson (3)\"\n    },\n    {\n      \"score\": \"80\",\n      \"location_attendance\": \"oakland high school\",\n      \"high_assists\": \"olivia davis (2)\"\n    },\n    {\n      \"score\": \"88\",\n      \"location_attendance\": \"groves high school\",\n      \"high_assists\": \"william jackson (1)\"\n    },\n    {\n      \"score\": \"79\",\n      \"location_attendance\": \"oakland high school\",\n      \"high_assists\": \"sophia wilson (10)\"\n    }\n  ]\n}", "idx": 31869}
{"context": "CREATE TABLE table_name_65 (game VARCHAR, record VARCHAR)", "sql_query": "select game from table_name_65 where record = '6-12-8'", "question": "What game has a 6-12-8 record?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"game\": \"chess\",\n      \"record\": \"6-12-8\"\n    },\n    {\n      \"game\": \"football\",\n      \"record\": \"3-5-2\"\n    },\n    {\n      \"game\": \"basketball\",\n      \"record\": \"10-2-4\"\n    },\n    {\n      \"game\": \"tennis\",\n      \"record\": \"7-9-1\"\n    },\n    {\n      \"game\": \"baseball\",\n      \"record\": \"6-12-8\"\n    },\n    {\n      \"game\": \"soccer\",\n      \"record\": \"4-7-3\"\n    },\n    {\n      \"game\": \"golf\",\n      \"record\": \"2-10-6\"\n    },\n    {\n      \"game\": \"hockey\",\n      \"record\": \"6-12-8\"\n    },\n    {\n      \"game\": \"volleyball\",\n      \"record\": \"9-3-4\"\n    },\n    {\n      \"game\": \"cricket\",\n      \"record\": \"6-12-8\"\n    }\n  ]\n}", "idx": 31870}
{"context": "CREATE TABLE party (Governor VARCHAR)", "sql_query": "select governor from party group by governor order by count(*) desc limit 1", "question": "Show the people that have been governor the most times.", "data_table": "{\n  \"party\": [\n    {\n      \"governor\": \"john smith\"\n    },\n    {\n      \"governor\": \"jane doe\"\n    },\n    {\n      \"governor\": \"michael johnson\"\n    },\n    {\n      \"governor\": \"emily davis\"\n    },\n    {\n      \"governor\": \"robert wilson\"\n    },\n    {\n      \"governor\": \"sarah thompson\"\n    },\n    {\n      \"governor\": \"david brown\"\n    },\n    {\n      \"governor\": \"jennifer martinez\"\n    },\n    {\n      \"governor\": \"christopher taylor\"\n    },\n    {\n      \"governor\": \"jessica anderson\"\n    }\n  ]\n}", "idx": 31872}
{"context": "CREATE TABLE table_name_64 (date VARCHAR, opera VARCHAR, internet_explorer VARCHAR)", "sql_query": "select date from table_name_64 where opera = '5.1%' and internet_explorer = '59.5%'", "question": "Which date has an Opera usage percentage of 5.1% and Internet Explorer usage of 59.5%?", "data_table": "{\n  \"table_name_64\": [\n    {\n      \"date\": \"2021-01-01\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-02\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-03\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-04\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-05\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-06\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-07\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-08\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-09\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    },\n    {\n      \"date\": \"2021-01-10\",\n      \"opera\": \"5.1%\",\n      \"internet_explorer\": \"59.5%\"\n    }\n  ]\n}", "idx": 31874}
{"context": "CREATE TABLE table_16570286_2 (matches VARCHAR, player VARCHAR)", "sql_query": "select count(matches) from table_16570286_2 where player = 'arthur morris'", "question": "How many numbers were recorded under matches with Arthur Morris?", "data_table": "{\n  \"table_16570286_2\": [\n    {\n      \"matches\": \"10\",\n      \"player\": \"arthur morris\"\n    },\n    {\n      \"matches\": \"8\",\n      \"player\": \"don bradman\"\n    },\n    {\n      \"matches\": \"12\",\n      \"player\": \"steve smith\"\n    },\n    {\n      \"matches\": \"6\",\n      \"player\": \"ricky ponting\"\n    },\n    {\n      \"matches\": \"9\",\n      \"player\": \"shane warne\"\n    },\n    {\n      \"matches\": \"7\",\n      \"player\": \"glenn mcgrath\"\n    },\n    {\n      \"matches\": \"11\",\n      \"player\": \"adam gilchrist\"\n    },\n    {\n      \"matches\": \"5\",\n      \"player\": \"michael clarke\"\n    },\n    {\n      \"matches\": \"13\",\n      \"player\": \"matthew hayden\"\n    },\n    {\n      \"matches\": \"4\",\n      \"player\": \"justin langer\"\n    }\n  ]\n}", "idx": 31875}
{"context": "CREATE TABLE table_name_23 (score VARCHAR, date VARCHAR)", "sql_query": "select score from table_name_23 where date = 'january 23'", "question": "What was the final score for the January 23 game?", "data_table": "{\n  \"table_name_23\": [\n    {\n      \"score\": \"85\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"92\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"78\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"90\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"70\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"88\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"75\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"82\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"95\",\n      \"date\": \"january 23\"\n    },\n    {\n      \"score\": \"80\",\n      \"date\": \"january 23\"\n    }\n  ]\n}", "idx": 31876}
{"context": "CREATE TABLE dorm (dorm_name VARCHAR, gender VARCHAR)", "sql_query": "select dorm_name from dorm where gender = 'f'", "question": "Find the name of dorms only for female (F gender).", "data_table": "{\n  \"dorm\": [\n    {\n      \"dorm_name\": \"alpha\",\n      \"gender\": \"f\"\n    },\n    {\n      \"dorm_name\": \"beta\",\n      \"gender\": \"m\"\n    },\n    {\n      \"dorm_name\": \"gamma\",\n      \"gender\": \"f\"\n    },\n    {\n      \"dorm_name\": \"delta\",\n      \"gender\": \"m\"\n    },\n    {\n      \"dorm_name\": \"epsilon\",\n      \"gender\": \"f\"\n    },\n    {\n      \"dorm_name\": \"zeta\",\n      \"gender\": \"m\"\n    },\n    {\n      \"dorm_name\": \"eta\",\n      \"gender\": \"f\"\n    },\n    {\n      \"dorm_name\": \"theta\",\n      \"gender\": \"m\"\n    },\n    {\n      \"dorm_name\": \"iota\",\n      \"gender\": \"f\"\n    },\n    {\n      \"dorm_name\": \"kappa\",\n      \"gender\": \"m\"\n    }\n  ]\n}", "idx": 31878}
{"context": "CREATE TABLE table_10749143_2 (directed_by VARCHAR, production_code VARCHAR)", "sql_query": "select directed_by from table_10749143_2 where production_code = '7aff03'", "question": "Who directed the episode with production code 7aff03?", "data_table": "{\n  \"table_10749143_2\": [\n    {\n      \"directed_by\": \"john smith\",\n      \"production_code\": \"7aff03\"\n    },\n    {\n      \"directed_by\": \"jane doe\",\n      \"production_code\": \"a1b2c3\"\n    },\n    {\n      \"directed_by\": \"michael johnson\",\n      \"production_code\": \"4d5e6f\"\n    },\n    {\n      \"directed_by\": \"emily brown\",\n      \"production_code\": \"g7h8i9\"\n    },\n    {\n      \"directed_by\": \"david lee\",\n      \"production_code\": \"j1k2l3\"\n    },\n    {\n      \"directed_by\": \"sarah thompson\",\n      \"production_code\": \"m4n5o6\"\n    },\n    {\n      \"directed_by\": \"robert wilson\",\n      \"production_code\": \"p7q8r9\"\n    },\n    {\n      \"directed_by\": \"jennifer davis\",\n      \"production_code\": \"s1t2u3\"\n    },\n    {\n      \"directed_by\": \"daniel anderson\",\n      \"production_code\": \"v4w5x6\"\n    },\n    {\n      \"directed_by\": \"amy taylor\",\n      \"production_code\": \"y7z8a9\"\n    }\n  ]\n}", "idx": 31879}
{"context": "CREATE TABLE table_name_96 (res VARCHAR, opponent VARCHAR)", "sql_query": "select res from table_name_96 where opponent = 'rory markham'", "question": "What was the result when the opponent was Rory Markham?", "data_table": "{\n  \"table_name_96\": [\n    {\n      \"res\": \"win\",\n      \"opponent\": \"rory markham\"\n    },\n    {\n      \"res\": \"loss\",\n      \"opponent\": \"rory markham\"\n    },\n    {\n      \"res\": \"win\",\n      \"opponent\": \"john smith\"\n    },\n    {\n      \"res\": \"loss\",\n      \"opponent\": \"john smith\"\n    },\n    {\n      \"res\": \"win\",\n      \"opponent\": \"jane doe\"\n    },\n    {\n      \"res\": \"loss\",\n      \"opponent\": \"jane doe\"\n    },\n    {\n      \"res\": \"win\",\n      \"opponent\": \"mike johnson\"\n    },\n    {\n      \"res\": \"loss\",\n      \"opponent\": \"mike johnson\"\n    },\n    {\n      \"res\": \"win\",\n      \"opponent\": \"sarah williams\"\n    },\n    {\n      \"res\": \"loss\",\n      \"opponent\": \"sarah williams\"\n    }\n  ]\n}", "idx": 31880}
{"context": "CREATE TABLE table_28005160_2 (country VARCHAR, city VARCHAR)", "sql_query": "select count(country) from table_28005160_2 where city = 'ljungskile'", "question": "How many countries played in the city of ljungskile?", "data_table": "{\n  \"table_28005160_2\": [\n    {\n      \"country\": \"usa\",\n      \"city\": \"new york\"\n    },\n    {\n      \"country\": \"usa\",\n      \"city\": \"los angeles\"\n    },\n    {\n      \"country\": \"canada\",\n      \"city\": \"toronto\"\n    },\n    {\n      \"country\": \"canada\",\n      \"city\": \"vancouver\"\n    },\n    {\n      \"country\": \"uk\",\n      \"city\": \"london\"\n    },\n    {\n      \"country\": \"uk\",\n      \"city\": \"manchester\"\n    },\n    {\n      \"country\": \"france\",\n      \"city\": \"paris\"\n    },\n    {\n      \"country\": \"france\",\n      \"city\": \"marseille\"\n    },\n    {\n      \"country\": \"germany\",\n      \"city\": \"berlin\"\n    },\n    {\n      \"country\": \"germany\",\n      \"city\": \"munich\"\n    }\n  ]\n}", "idx": 31881}
{"context": "CREATE TABLE table_name_15 (record VARCHAR, date VARCHAR)", "sql_query": "select record from table_name_15 where date = 'may 21'", "question": "What was the record on May 21?", "data_table": "{\n  \"table_name_15\": [\n    {\n      \"record\": \"record 1\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"record\": \"record 2\",\n      \"date\": \"may 21\"\n    },\n    {\n      \"record\": \"record 3\",\n      \"date\": \"may 22\"\n    },\n    {\n      \"record\": \"record 4\",\n      \"date\": \"may 22\"\n    },\n    {\n      \"record\": \"record 5\",\n      \"date\": \"may 23\"\n    },\n    {\n      \"record\": \"record 6\",\n      \"date\": \"may 23\"\n    },\n    {\n      \"record\": \"record 7\",\n      \"date\": \"may 24\"\n    },\n    {\n      \"record\": \"record 8\",\n      \"date\": \"may 24\"\n    },\n    {\n      \"record\": \"record 9\",\n      \"date\": \"may 25\"\n    },\n    {\n      \"record\": \"record 10\",\n      \"date\": \"may 25\"\n    }\n  ]\n}", "idx": 31882}
{"context": "CREATE TABLE table_25561038_1 (races VARCHAR, points VARCHAR)", "sql_query": "select count(races) from table_25561038_1 where points = '15'", "question": "How many series awarded 15 points?", "data_table": "{\n  \"table_25561038_1\": [\n    {\n      \"races\": \"race 1\",\n      \"points\": \"15\"\n    },\n    {\n      \"races\": \"race 2\",\n      \"points\": \"10\"\n    },\n    {\n      \"races\": \"race 3\",\n      \"points\": \"20\"\n    },\n    {\n      \"races\": \"race 4\",\n      \"points\": \"15\"\n    },\n    {\n      \"races\": \"race 5\",\n      \"points\": \"10\"\n    },\n    {\n      \"races\": \"race 6\",\n      \"points\": \"20\"\n    },\n    {\n      \"races\": \"race 7\",\n      \"points\": \"15\"\n    },\n    {\n      \"races\": \"race 8\",\n      \"points\": \"10\"\n    },\n    {\n      \"races\": \"race 9\",\n      \"points\": \"20\"\n    },\n    {\n      \"races\": \"race 10\",\n      \"points\": \"15\"\n    }\n  ]\n}", "idx": 31884}
{"context": "CREATE TABLE table_name_65 (original_airdate VARCHAR, episode__number VARCHAR)", "sql_query": "select original_airdate from table_name_65 where episode__number = '29 (7)'", "question": "When did Episode 29 (7) originally air?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"original_airdate\": \"2021-01-05\",\n      \"episode__number\": \"29 (7)\"\n    },\n    {\n      \"original_airdate\": \"2020-12-15\",\n      \"episode__number\": \"15 (3)\"\n    },\n    {\n      \"original_airdate\": \"2021-02-10\",\n      \"episode__number\": \"10 (2)\"\n    },\n    {\n      \"original_airdate\": \"2020-11-25\",\n      \"episode__number\": \"5 (1)\"\n    },\n    {\n      \"original_airdate\": \"2021-03-03\",\n      \"episode__number\": \"40 (10)\"\n    },\n    {\n      \"original_airdate\": \"2021-02-24\",\n      \"episode__number\": \"35 (9)\"\n    },\n    {\n      \"original_airdate\": \"2021-01-20\",\n      \"episode__number\": \"20 (5)\"\n    },\n    {\n      \"original_airdate\": \"2020-12-30\",\n      \"episode__number\": \"25 (6)\"\n    },\n    {\n      \"original_airdate\": \"2021-02-03\",\n      \"episode__number\": \"3 (1)\"\n    },\n    {\n      \"original_airdate\": \"2021-01-13\",\n      \"episode__number\": \"12 (4)\"\n    }\n  ]\n}", "idx": 31885}
{"context": "CREATE TABLE table_name_65 (height__cm_ VARCHAR, birthdate VARCHAR)", "sql_query": "select count(height__cm_) from table_name_65 where birthdate = 'september 2, 1973'", "question": "What is the total height of the player with a birthdate on September 2, 1973?", "data_table": "{\n  \"table_name_65\": [\n    {\n      \"height__cm_\": \"175\",\n      \"birthdate\": \"september 2, 1973\"\n    },\n    {\n      \"height__cm_\": \"160\",\n      \"birthdate\": \"july 10, 1985\"\n    },\n    {\n      \"height__cm_\": \"180\",\n      \"birthdate\": \"march 15, 1990\"\n    },\n    {\n      \"height__cm_\": \"165\",\n      \"birthdate\": \"november 20, 1982\"\n    },\n    {\n      \"height__cm_\": \"170\",\n      \"birthdate\": \"april 5, 1978\"\n    },\n    {\n      \"height__cm_\": \"155\",\n      \"birthdate\": \"december 25, 1995\"\n    },\n    {\n      \"height__cm_\": \"185\",\n      \"birthdate\": \"may 12, 1987\"\n    },\n    {\n      \"height__cm_\": \"160\",\n      \"birthdate\": \"august 8, 1992\"\n    },\n    {\n      \"height__cm_\": \"175\",\n      \"birthdate\": \"january 30, 1980\"\n    },\n    {\n      \"height__cm_\": \"170\",\n      \"birthdate\": \"june 18, 1991\"\n    }\n  ]\n}", "idx": 31886}
{"context": "CREATE TABLE table_24216139_2 (enrollment VARCHAR, nickname VARCHAR)", "sql_query": "select enrollment from table_24216139_2 where nickname = 'cougars'", "question": "Name the enrollment with cougars", "data_table": "{\n  \"table_24216139_2\": [\n    {\n      \"enrollment\": \"12345\",\n      \"nickname\": \"cougars\"\n    },\n    {\n      \"enrollment\": \"67890\",\n      \"nickname\": \"tigers\"\n    },\n    {\n      \"enrollment\": \"24680\",\n      \"nickname\": \"lions\"\n    },\n    {\n      \"enrollment\": \"13579\",\n      \"nickname\": \"panthers\"\n    },\n    {\n      \"enrollment\": \"98765\",\n      \"nickname\": \"jaguars\"\n    },\n    {\n      \"enrollment\": \"54321\",\n      \"nickname\": \"cheetahs\"\n    },\n    {\n      \"enrollment\": \"86420\",\n      \"nickname\": \"leopards\"\n    },\n    {\n      \"enrollment\": \"97531\",\n      \"nickname\": \"lynx\"\n    },\n    {\n      \"enrollment\": \"10293\",\n      \"nickname\": \"bobcats\"\n    },\n    {\n      \"enrollment\": \"38475\",\n      \"nickname\": \"pumas\"\n    }\n  ]\n}", "idx": 31887}
{"context": "CREATE TABLE table_name_99 (crowd VARCHAR, venue VARCHAR)", "sql_query": "select crowd from table_name_99 where venue = 'victoria park'", "question": "What is the crowd size for Victoria park?", "data_table": "{\n  \"table_name_99\": [\n    {\n      \"crowd\": \"young\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"crowd\": \"middle-aged\",\n      \"venue\": \"victoria park\"\n    },\n    {\n      \"crowd\": \"elderly\",\n      \"venue\": \"central park\"\n    },\n    {\n      \"crowd\": \"teenagers\",\n      \"venue\": \"central park\"\n    },\n    {\n      \"crowd\": \"families\",\n      \"venue\": \"hyde park\"\n    },\n    {\n      \"crowd\": \"students\",\n      \"venue\": \"hyde park\"\n    },\n    {\n      \"crowd\": \"professionals\",\n      \"venue\": \"regent's park\"\n    },\n    {\n      \"crowd\": \"tourists\",\n      \"venue\": \"regent's park\"\n    },\n    {\n      \"crowd\": \"locals\",\n      \"venue\": \"greenwich park\"\n    },\n    {\n      \"crowd\": \"athletes\",\n      \"venue\": \"greenwich park\"\n    }\n  ]\n}", "idx": 31888}
{"context": "CREATE TABLE table_17355408_9 (high_rebounds VARCHAR, team VARCHAR)", "sql_query": "select high_rebounds from table_17355408_9 where team = 'sacramento'", "question": "Who had the high rebounds when the team played Sacramento?", "data_table": "{\n  \"table_17355408_9\": [\n    {\n      \"high_rebounds\": \"10\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"8\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"12\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"6\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"9\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"7\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"11\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"5\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"14\",\n      \"team\": \"sacramento\"\n    },\n    {\n      \"high_rebounds\": \"13\",\n      \"team\": \"sacramento\"\n    }\n  ]\n}", "idx": 31889}
{"context": "CREATE TABLE table_name_33 (matrix INTEGER, recording_date VARCHAR)", "sql_query": "select max(matrix) from table_name_33 where recording_date = '1926/03'", "question": "what is the highest matrix when the recording date is 1926/03?", "data_table": "{\n  \"table_name_33\": [\n    {\n      \"matrix\": 5,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 8,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 3,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 2,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 6,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 4,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 7,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 1,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 9,\n      \"recording_date\": \"1926/03\"\n    },\n    {\n      \"matrix\": 10,\n      \"recording_date\": \"1926/03\"\n    }\n  ]\n}", "idx": 31890}
{"context": "CREATE TABLE table_name_5 (chassis VARCHAR, constructor VARCHAR, driver VARCHAR)", "sql_query": "select chassis from table_name_5 where constructor = 'simca-gordini' and driver = 'max de terra'", "question": "what was the chassis built by simca-gordini and driven by max de terra?", "data_table": "{\n  \"table_name_5\": [\n    {\n      \"chassis\": \"abc123\",\n      \"constructor\": \"simca-gordini\",\n      \"driver\": \"max de terra\"\n    },\n    {\n      \"chassis\": \"def456\",\n      \"constructor\": \"ferrari\",\n      \"driver\": \"sebastian vettel\"\n    },\n    {\n      \"chassis\": \"ghi789\",\n      \"constructor\": \"mercedes\",\n      \"driver\": \"lewis hamilton\"\n    },\n    {\n      \"chassis\": \"jkl012\",\n      \"constructor\": \"red bull\",\n      \"driver\": \"max verstappen\"\n    },\n    {\n      \"chassis\": \"mno345\",\n      \"constructor\": \"mclaren\",\n      \"driver\": \"lando norris\"\n    },\n    {\n      \"chassis\": \"pqr678\",\n      \"constructor\": \"renault\",\n      \"driver\": \"daniel ricciardo\"\n    },\n    {\n      \"chassis\": \"stu901\",\n      \"constructor\": \"alfa romeo\",\n      \"driver\": \"kimi raikkonen\"\n    },\n    {\n      \"chassis\": \"vwx234\",\n      \"constructor\": \"haas\",\n      \"driver\": \"mick schumacher\"\n    },\n    {\n      \"chassis\": \"yza567\",\n      \"constructor\": \"williams\",\n      \"driver\": \"george russell\"\n    },\n    {\n      \"chassis\": \"bcd890\",\n      \"constructor\": \"alphatauri\",\n      \"driver\": \"pierre gasly\"\n    }\n  ]\n}", "idx": 31892}
{"context": "CREATE TABLE table_name_77 (variant__with_niqqud__ VARCHAR, phonetic_realisation VARCHAR)", "sql_query": "select variant__with_niqqud__ from table_name_77 where phonetic_realisation = '[[[|v]]]'", "question": "What is the variant with niqqud for a phonetic realisation of [[[|v]]]?", "data_table": "{\n  \"table_name_77\": [\n    {\n      \"variant__with_niqqud__\": \"\u05d0\u05b7\u05d1\u05b0\u05e8\u05b8\u05d4\u05b8\u05dd\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05d9\u05b4\u05e6\u05b0\u05d7\u05b8\u05e7\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05d9\u05b7\u05e2\u05b2\u05e7\u05b9\u05d1\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05e9\u05b8\u05c2\u05e8\u05b8\u05d4\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05e8\u05b4\u05d1\u05b0\u05e7\u05b8\u05d4\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05e8\u05b8\u05d7\u05b5\u05dc\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05dc\u05b5\u05d0\u05b8\u05d4\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05de\u05b4\u05e8\u05b0\u05d9\u05b8\u05dd\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05d3\u05b0\u05bc\u05d1\u05d5\u05b9\u05e8\u05b8\u05d4\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    },\n    {\n      \"variant__with_niqqud__\": \"\u05d7\u05b7\u05e0\u05b8\u05bc\u05d4\",\n      \"phonetic_realisation\": \"[[[|v]]]\"\n    }\n  ]\n}", "idx": 31893}
{"context": "CREATE TABLE table_13606924_1 (kerry__number INTEGER, bush__percentage VARCHAR)", "sql_query": "select min(kerry__number) from table_13606924_1 where bush__percentage = '78.40%'", "question": "what is the minimum\u00a0kerry #\u00a0with\u00a0bush %\u00a0being 78.40%", "data_table": "{\n  \"table_13606924_1\": [\n    {\n      \"kerry__number\": 10,\n      \"bush__percentage\": \"78.40%\"\n    },\n    {\n      \"kerry__number\": 15,\n      \"bush__percentage\": \"82.10%\"\n    },\n    {\n      \"kerry__number\": 20,\n      \"bush__percentage\": \"75.60%\"\n    },\n    {\n      \"kerry__number\": 5,\n      \"bush__percentage\": \"78.40%\"\n    },\n    {\n      \"kerry__number\": 12,\n      \"bush__percentage\": \"80.20%\"\n    },\n    {\n      \"kerry__number\": 18,\n      \"bush__percentage\": \"76.80%\"\n    },\n    {\n      \"kerry__number\": 7,\n      \"bush__percentage\": \"78.40%\"\n    },\n    {\n      \"kerry__number\": 14,\n      \"bush__percentage\": \"81.50%\"\n    },\n    {\n      \"kerry__number\": 22,\n      \"bush__percentage\": \"74.90%\"\n    },\n    {\n      \"kerry__number\": 9,\n      \"bush__percentage\": \"78.40%\"\n    }\n  ]\n}", "idx": 31894}
{"context": "CREATE TABLE table_name_18 (player VARCHAR, jersey_number_s_ VARCHAR)", "sql_query": "select player from table_name_18 where jersey_number_s_ = '2'", "question": "Which player wears the number 2 on his jersey?", "data_table": "{\n  \"table_name_18\": [\n    {\n      \"player\": \"john doe\",\n      \"jersey_number_s_\": \"2\"\n    },\n    {\n      \"player\": \"jane smith\",\n      \"jersey_number_s_\": \"5\"\n    },\n    {\n      \"player\": \"mike johnson\",\n      \"jersey_number_s_\": \"10\"\n    },\n    {\n      \"player\": \"sarah thompson\",\n      \"jersey_number_s_\": \"7\"\n    },\n    {\n      \"player\": \"david wilson\",\n      \"jersey_number_s_\": \"2\"\n    },\n    {\n      \"player\": \"emily davis\",\n      \"jersey_number_s_\": \"9\"\n    },\n    {\n      \"player\": \"alex turner\",\n      \"jersey_number_s_\": \"4\"\n    },\n    {\n      \"player\": \"olivia brown\",\n      \"jersey_number_s_\": \"2\"\n    },\n    {\n      \"player\": \"daniel harris\",\n      \"jersey_number_s_\": \"6\"\n    },\n    {\n      \"player\": \"sophia martinez\",\n      \"jersey_number_s_\": \"3\"\n    }\n  ]\n}", "idx": 31895}
{"context": "CREATE TABLE table_name_45 (year_s__won VARCHAR, to_par VARCHAR)", "sql_query": "select year_s__won from table_name_45 where to_par = '+1'", "question": "Which years was there a To par of +1?", "data_table": "{\n  \"table_name_45\": [\n    {\n      \"year_s__won\": \"2015\",\n      \"to_par\": \"+1\"\n    },\n    {\n      \"year_s__won\": \"2016\",\n      \"to_par\": \"-2\"\n    },\n    {\n      \"year_s__won\": \"2017\",\n      \"to_par\": \"+1\"\n    },\n    {\n      \"year_s__won\": \"2018\",\n      \"to_par\": \"+3\"\n    },\n    {\n      \"year_s__won\": \"2019\",\n      \"to_par\": \"-1\"\n    },\n    {\n      \"year_s__won\": \"2020\",\n      \"to_par\": \"+2\"\n    },\n    {\n      \"year_s__won\": \"2021\",\n      \"to_par\": \"+1\"\n    },\n    {\n      \"year_s__won\": \"2022\",\n      \"to_par\": \"-3\"\n    },\n    {\n      \"year_s__won\": \"2023\",\n      \"to_par\": \"+4\"\n    },\n    {\n      \"year_s__won\": \"2024\",\n      \"to_par\": \"+1\"\n    }\n  ]\n}", "idx": 31896}
{"context": "CREATE TABLE table_name_78 (home_team VARCHAR, aedt_time VARCHAR)", "sql_query": "select home_team as score from table_name_78 where aedt_time = '11:00 pm'", "question": "Which Home team score has a AEDT Time of 11:00 pm?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"home_team\": \"team a\",\n      \"aedt_time\": \"11:00 pm\"\n    },\n    {\n      \"home_team\": \"team b\",\n      \"aedt_time\": \"11:00 pm\"\n    },\n    {\n      \"home_team\": \"team c\",\n      \"aedt_time\": \"10:30 pm\"\n    },\n    {\n      \"home_team\": \"team d\",\n      \"aedt_time\": \"10:30 pm\"\n    },\n    {\n      \"home_team\": \"team e\",\n      \"aedt_time\": \"9:45 pm\"\n    },\n    {\n      \"home_team\": \"team f\",\n      \"aedt_time\": \"9:45 pm\"\n    },\n    {\n      \"home_team\": \"team g\",\n      \"aedt_time\": \"8:15 pm\"\n    },\n    {\n      \"home_team\": \"team h\",\n      \"aedt_time\": \"8:15 pm\"\n    },\n    {\n      \"home_team\": \"team i\",\n      \"aedt_time\": \"7:30 pm\"\n    },\n    {\n      \"home_team\": \"team j\",\n      \"aedt_time\": \"7:30 pm\"\n    }\n  ]\n}", "idx": 31897}
{"context": "CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE order_items (order_quantity INTEGER, order_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)", "sql_query": "select sum(t3.order_quantity) from customers as t1 join customer_orders as t2 on t1.customer_id = t2.customer_id join order_items as t3 on t2.order_id = t3.order_id where t1.customer_name = 'rodrick heaney'", "question": "What is the total quantity of products purchased by \"Rodrick Heaney\"?", "data_table": "{\n  \"customers\": [\n    {\n      \"customer_id\": \"1\",\n      \"customer_name\": \"john smith\"\n    },\n    {\n      \"customer_id\": \"2\",\n      \"customer_name\": \"jane doe\"\n    },\n    {\n      \"customer_id\": \"3\",\n      \"customer_name\": \"michael johnson\"\n    },\n    {\n      \"customer_id\": \"4\",\n      \"customer_name\": \"emily brown\"\n    },\n    {\n      \"customer_id\": \"5\",\n      \"customer_name\": \"david wilson\"\n    }\n  ],\n  \"order_items\": [\n    {\n      \"order_quantity\": 5,\n      \"order_id\": \"1001\"\n    },\n    {\n      \"order_quantity\": 3,\n      \"order_id\": \"1002\"\n    },\n    {\n      \"order_quantity\": 7,\n      \"order_id\": \"1003\"\n    },\n    {\n      \"order_quantity\": 2,\n      \"order_id\": \"1004\"\n    },\n    {\n      \"order_quantity\": 4,\n      \"order_id\": \"1005\"\n    }\n  ],\n  \"customer_orders\": [\n    {\n      \"customer_id\": \"1\",\n      \"order_id\": \"1001\"\n    },\n    {\n      \"customer_id\": \"2\",\n      \"order_id\": \"1002\"\n    },\n    {\n      \"customer_id\": \"3\",\n      \"order_id\": \"1003\"\n    },\n    {\n      \"customer_id\": \"4\",\n      \"order_id\": \"1004\"\n    },\n    {\n      \"customer_id\": \"5\",\n      \"order_id\": \"1005\"\n    }\n  ]\n}", "idx": 31900}
{"context": "CREATE TABLE table_14986292_1 (population_2000_census VARCHAR, administrative_division VARCHAR)", "sql_query": "select count(population_2000_census) from table_14986292_1 where administrative_division = 'mesquita'", "question": "Name the total number of population 2000 census for mesquita", "data_table": "{\n  \"table_14986292_1\": [\n    {\n      \"population_2000_census\": \"10000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"15000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"20000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"12000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"18000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"9000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"13000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"11000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"17000\",\n      \"administrative_division\": \"mesquita\"\n    },\n    {\n      \"population_2000_census\": \"14000\",\n      \"administrative_division\": \"mesquita\"\n    }\n  ]\n}", "idx": 31901}
{"context": "CREATE TABLE table_1708050_3 (wins INTEGER, position VARCHAR)", "sql_query": "select max(wins) from table_1708050_3 where position = '16th'", "question": "Name the most wins where position is 16th", "data_table": "{\n  \"table_1708050_3\": [\n    {\n      \"wins\": 10,\n      \"position\": \"1st\"\n    },\n    {\n      \"wins\": 5,\n      \"position\": \"2nd\"\n    },\n    {\n      \"wins\": 8,\n      \"position\": \"3rd\"\n    },\n    {\n      \"wins\": 3,\n      \"position\": \"4th\"\n    },\n    {\n      \"wins\": 7,\n      \"position\": \"5th\"\n    },\n    {\n      \"wins\": 6,\n      \"position\": \"6th\"\n    },\n    {\n      \"wins\": 9,\n      \"position\": \"7th\"\n    },\n    {\n      \"wins\": 4,\n      \"position\": \"8th\"\n    },\n    {\n      \"wins\": 2,\n      \"position\": \"9th\"\n    },\n    {\n      \"wins\": 1,\n      \"position\": \"10th\"\n    }\n  ]\n}", "idx": 31902}
{"context": "CREATE TABLE table_2562572_46 (population__2011_ VARCHAR, settlement VARCHAR)", "sql_query": "select population__2011_ from table_2562572_46 where settlement = 'pavli\u0161'", "question": "What was the 2011 population of pavli\u0161?", "data_table": "{\n  \"table_2562572_46\": [\n    {\n      \"population__2011_\": \"1000\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"2000\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"1500\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"3000\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"2500\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"1200\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"1800\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"2200\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"1700\",\n      \"settlement\": \"pavli\u0161\"\n    },\n    {\n      \"population__2011_\": \"1900\",\n      \"settlement\": \"pavli\u0161\"\n    }\n  ]\n}", "idx": 31903}
{"context": "CREATE TABLE table_name_26 (t__\u00b5m_ INTEGER, technology VARCHAR)", "sql_query": "select sum(t__\u00b5m_) from table_name_26 where technology = 'mj'", "question": "What is the sum of t (\u00b5m), when Technology is MJ?", "data_table": "{\n  \"table_name_26\": [\n    {\n      \"t__\u00b5m_\": 10,\n      \"technology\": \"mj\"\n    },\n    {\n      \"t__\u00b5m_\": 15,\n      \"technology\": \"mj\"\n    },\n    {\n      \"t__\u00b5m_\": 20,\n      \"technology\": \"mj\"\n    },\n    {\n      \"t__\u00b5m_\": 25,\n      \"technology\": \"mj\"\n    },\n    {\n      \"t__\u00b5m_\": 30,\n      \"technology\": \"mj\"\n    },\n    {\n      \"t__\u00b5m_\": 12,\n      \"technology\": \"ab\"\n    },\n    {\n      \"t__\u00b5m_\": 18,\n      \"technology\": \"ab\"\n    },\n    {\n      \"t__\u00b5m_\": 22,\n      \"technology\": \"ab\"\n    },\n    {\n      \"t__\u00b5m_\": 28,\n      \"technology\": \"ab\"\n    },\n    {\n      \"t__\u00b5m_\": 35,\n      \"technology\": \"ab\"\n    }\n  ]\n}", "idx": 31904}
{"context": "CREATE TABLE table_2490289_1 (amiga_demo VARCHAR, pc_demo VARCHAR)", "sql_query": "select amiga_demo from table_2490289_1 where pc_demo = 'tribes ( pulse & melon dezign)'", "question": "Who won best amiga demo when tribes ( pulse & melon dezign) won best pc demo?", "data_table": "{\n  \"table_2490289_1\": [\n    {\n      \"amiga_demo\": \"demo1\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo2\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo3\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo4\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo5\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo6\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo7\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo8\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo9\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    },\n    {\n      \"amiga_demo\": \"demo10\",\n      \"pc_demo\": \"tribes ( pulse & melon dezign)\"\n    }\n  ]\n}", "idx": 31905}
{"context": "CREATE TABLE table_1974632_1 (location VARCHAR, type VARCHAR)", "sql_query": "select location from table_1974632_1 where type = 'private/presbyterian'", "question": "where is the private/presbyterian institute", "data_table": "{\n  \"table_1974632_1\": [\n    {\n      \"location\": \"new york\",\n      \"type\": \"private/presbyterian\"\n    },\n    {\n      \"location\": \"los angeles\",\n      \"type\": \"public/catholic\"\n    },\n    {\n      \"location\": \"chicago\",\n      \"type\": \"private/presbyterian\"\n    },\n    {\n      \"location\": \"houston\",\n      \"type\": \"public/baptist\"\n    },\n    {\n      \"location\": \"miami\",\n      \"type\": \"private/presbyterian\"\n    },\n    {\n      \"location\": \"seattle\",\n      \"type\": \"public/catholic\"\n    },\n    {\n      \"location\": \"atlanta\",\n      \"type\": \"private/presbyterian\"\n    },\n    {\n      \"location\": \"denver\",\n      \"type\": \"public/baptist\"\n    },\n    {\n      \"location\": \"boston\",\n      \"type\": \"private/presbyterian\"\n    },\n    {\n      \"location\": \"san francisco\",\n      \"type\": \"public/catholic\"\n    }\n  ]\n}", "idx": 31908}
{"context": "CREATE TABLE table_name_87 (team VARCHAR, primary_sponsor_s_ VARCHAR)", "sql_query": "select team from table_name_87 where primary_sponsor_s_ = 'peak fitness'", "question": "Which team has Peak Fitness as the primary sponsor?", "data_table": "{\n  \"table_name_87\": [\n    {\n      \"team\": \"team a\",\n      \"primary_sponsor_s_\": \"peak fitness\"\n    },\n    {\n      \"team\": \"team b\",\n      \"primary_sponsor_s_\": \"gatorade\"\n    },\n    {\n      \"team\": \"team c\",\n      \"primary_sponsor_s_\": \"nike\"\n    },\n    {\n      \"team\": \"team d\",\n      \"primary_sponsor_s_\": \"adidas\"\n    },\n    {\n      \"team\": \"team e\",\n      \"primary_sponsor_s_\": \"peak fitness\"\n    },\n    {\n      \"team\": \"team f\",\n      \"primary_sponsor_s_\": \"under armour\"\n    },\n    {\n      \"team\": \"team g\",\n      \"primary_sponsor_s_\": \"reebok\"\n    },\n    {\n      \"team\": \"team h\",\n      \"primary_sponsor_s_\": \"peak fitness\"\n    },\n    {\n      \"team\": \"team i\",\n      \"primary_sponsor_s_\": \"puma\"\n    },\n    {\n      \"team\": \"team j\",\n      \"primary_sponsor_s_\": \"peak fitness\"\n    }\n  ]\n}", "idx": 31909}
{"context": "CREATE TABLE table_26565936_2 (original_air_date VARCHAR, us_viewers__millions_ VARCHAR)", "sql_query": "select original_air_date from table_26565936_2 where us_viewers__millions_ = '13.92'", "question": "What was the original air date for the episode with 13.92 million us viewers?", "data_table": "{\n  \"table_26565936_2\": [\n    {\n      \"original_air_date\": \"2021-01-01\",\n      \"us_viewers__millions_\": \"13.92\"\n    },\n    {\n      \"original_air_date\": \"2021-02-05\",\n      \"us_viewers__millions_\": \"10.75\"\n    },\n    {\n      \"original_air_date\": \"2021-03-12\",\n      \"us_viewers__millions_\": \"8.36\"\n    },\n    {\n      \"original_air_date\": \"2021-04-18\",\n      \"us_viewers__millions_\": \"13.92\"\n    },\n    {\n      \"original_air_date\": \"2021-05-23\",\n      \"us_viewers__millions_\": \"6.21\"\n    },\n    {\n      \"original_air_date\": \"2021-06-30\",\n      \"us_viewers__millions_\": \"9.87\"\n    },\n    {\n      \"original_air_date\": \"2021-07-04\",\n      \"us_viewers__millions_\": \"13.92\"\n    },\n    {\n      \"original_air_date\": \"2021-08-09\",\n      \"us_viewers__millions_\": \"7.45\"\n    },\n    {\n      \"original_air_date\": \"2021-09-15\",\n      \"us_viewers__millions_\": \"13.92\"\n    },\n    {\n      \"original_air_date\": \"2021-10-20\",\n      \"us_viewers__millions_\": \"11.36\"\n    }\n  ]\n}", "idx": 31910}
{"context": "CREATE TABLE table_14425454_1 (crowd VARCHAR, home_team VARCHAR)", "sql_query": "select count(crowd) from table_14425454_1 where home_team = 'port adelaide'", "question": "What is the total number of attendees where the home team was Port Adelaide?", "data_table": "{\n  \"table_14425454_1\": [\n    {\n      \"crowd\": \"10000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"15000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"20000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"25000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"30000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"35000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"40000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"45000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"50000\",\n      \"home_team\": \"port adelaide\"\n    },\n    {\n      \"crowd\": \"55000\",\n      \"home_team\": \"port adelaide\"\n    }\n  ]\n}", "idx": 31912}
{"context": "CREATE TABLE table_name_53 (intergiro_classification VARCHAR, trofeo_fast_team VARCHAR, stage VARCHAR)", "sql_query": "select intergiro_classification from table_name_53 where trofeo_fast_team = 'team polti' and stage = '14'", "question": "Which intergiro classification is there for team Polti at stage 14?", "data_table": "{\n  \"table_name_53\": [\n    {\n      \"intergiro_classification\": \"1st\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"14\"\n    },\n    {\n      \"intergiro_classification\": \"2nd\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"14\"\n    },\n    {\n      \"intergiro_classification\": \"3rd\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"14\"\n    },\n    {\n      \"intergiro_classification\": \"4th\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"14\"\n    },\n    {\n      \"intergiro_classification\": \"5th\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"14\"\n    },\n    {\n      \"intergiro_classification\": \"1st\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"15\"\n    },\n    {\n      \"intergiro_classification\": \"2nd\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"15\"\n    },\n    {\n      \"intergiro_classification\": \"3rd\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"15\"\n    },\n    {\n      \"intergiro_classification\": \"4th\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"15\"\n    },\n    {\n      \"intergiro_classification\": \"5th\",\n      \"trofeo_fast_team\": \"team polti\",\n      \"stage\": \"15\"\n    }\n  ]\n}", "idx": 31913}
{"context": "CREATE TABLE table_name_40 (record VARCHAR, date VARCHAR)", "sql_query": "select record from table_name_40 where date = 'march 27'", "question": "What was the record on March 27?", "data_table": "{\n  \"table_name_40\": [\n    {\n      \"record\": \"record 1\",\n      \"date\": \"march 27\"\n    },\n    {\n      \"record\": \"record 2\",\n      \"date\": \"march 27\"\n    },\n    {\n      \"record\": \"record 3\",\n      \"date\": \"march 28\"\n    },\n    {\n      \"record\": \"record 4\",\n      \"date\": \"march 28\"\n    },\n    {\n      \"record\": \"record 5\",\n      \"date\": \"march 29\"\n    },\n    {\n      \"record\": \"record 6\",\n      \"date\": \"march 29\"\n    },\n    {\n      \"record\": \"record 7\",\n      \"date\": \"march 30\"\n    },\n    {\n      \"record\": \"record 8\",\n      \"date\": \"march 30\"\n    },\n    {\n      \"record\": \"record 9\",\n      \"date\": \"march 31\"\n    },\n    {\n      \"record\": \"record 10\",\n      \"date\": \"march 31\"\n    }\n  ]\n}", "idx": 31914}
{"context": "CREATE TABLE table_name_78 (prefix VARCHAR, group VARCHAR)", "sql_query": "select prefix from table_name_78 where group = 'bromo'", "question": "What prefix has Bromo as the group?", "data_table": "{\n  \"table_name_78\": [\n    {\n      \"prefix\": \"abc\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"def\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"ghi\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"jkl\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"mno\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"pqr\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"stu\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"vwx\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"yz\",\n      \"group\": \"bromo\"\n    },\n    {\n      \"prefix\": \"123\",\n      \"group\": \"bromo\"\n    }\n  ]\n}", "idx": 31915}
{"context": "CREATE TABLE table_23915973_1 (callsign VARCHAR, power_kw VARCHAR)", "sql_query": "select callsign from table_23915973_1 where power_kw = '25kw'", "question": "What is the callsign when power kw is 25kw?", "data_table": "{\n  \"table_23915973_1\": [\n    {\n      \"callsign\": \"abc123\",\n      \"power_kw\": \"25kw\"\n    },\n    {\n      \"callsign\": \"def456\",\n      \"power_kw\": \"50kw\"\n    },\n    {\n      \"callsign\": \"ghi789\",\n      \"power_kw\": \"25kw\"\n    },\n    {\n      \"callsign\": \"jkl012\",\n      \"power_kw\": \"75kw\"\n    },\n    {\n      \"callsign\": \"mno345\",\n      \"power_kw\": \"50kw\"\n    },\n    {\n      \"callsign\": \"pqr678\",\n      \"power_kw\": \"100kw\"\n    },\n    {\n      \"callsign\": \"stu901\",\n      \"power_kw\": \"75kw\"\n    },\n    {\n      \"callsign\": \"vwx234\",\n      \"power_kw\": \"25kw\"\n    },\n    {\n      \"callsign\": \"yza567\",\n      \"power_kw\": \"50kw\"\n    },\n    {\n      \"callsign\": \"bcd890\",\n      \"power_kw\": \"100kw\"\n    }\n  ]\n}", "idx": 31917}
{"context": "CREATE TABLE table_name_66 (opponent VARCHAR, date VARCHAR)", "sql_query": "select opponent from table_name_66 where date = 'september 19'", "question": "Which team did they play on September 19?", "data_table": "{\n  \"table_name_66\": [\n    {\n      \"opponent\": \"team a\",\n      \"date\": \"september 19\"\n    },\n    {\n      \"opponent\": \"team b\",\n      \"date\": \"september 19\"\n    },\n    {\n      \"opponent\": \"team c\",\n      \"date\": \"september 20\"\n    },\n    {\n      \"opponent\": \"team d\",\n      \"date\": \"september 20\"\n    },\n    {\n      \"opponent\": \"team e\",\n      \"date\": \"september 21\"\n    },\n    {\n      \"opponent\": \"team f\",\n      \"date\": \"september 21\"\n    },\n    {\n      \"opponent\": \"team g\",\n      \"date\": \"september 22\"\n    },\n    {\n      \"opponent\": \"team h\",\n      \"date\": \"september 22\"\n    },\n    {\n      \"opponent\": \"team i\",\n      \"date\": \"september 23\"\n    },\n    {\n      \"opponent\": \"team j\",\n      \"date\": \"september 23\"\n    }\n  ]\n}", "idx": 31919}
{"context": "CREATE TABLE table_name_16 (home_team VARCHAR)", "sql_query": "select home_team as score from table_name_16 where home_team = 'melbourne'", "question": "What was Melbourne's score as the home team?", "data_table": "{\n  \"table_name_16\": [\n    {\n      \"home_team\": \"melbourne\"\n    },\n    {\n      \"home_team\": \"sydney\"\n    },\n    {\n      \"home_team\": \"brisbane\"\n    },\n    {\n      \"home_team\": \"adelaide\"\n    },\n    {\n      \"home_team\": \"perth\"\n    },\n    {\n      \"home_team\": \"canberra\"\n    },\n    {\n      \"home_team\": \"darwin\"\n    },\n    {\n      \"home_team\": \"hobart\"\n    },\n    {\n      \"home_team\": \"auckland\"\n    },\n    {\n      \"home_team\": \"wellington\"\n    }\n  ]\n}", "idx": 31920}
{"context": "CREATE TABLE table_name_3 (last_performance VARCHAR, name VARCHAR)", "sql_query": "select last_performance from table_name_3 where name = 'rarmian newton'", "question": "What is the date of the Last Performance of Rarmian Newton as Billy Elliot?", "data_table": "{\n  \"table_name_3\": [\n    {\n      \"last_performance\": \"great\",\n      \"name\": \"rarmian newton\"\n    },\n    {\n      \"last_performance\": \"average\",\n      \"name\": \"emma watson\"\n    },\n    {\n      \"last_performance\": \"excellent\",\n      \"name\": \"tom hanks\"\n    },\n    {\n      \"last_performance\": \"good\",\n      \"name\": \"jennifer lawrence\"\n    },\n    {\n      \"last_performance\": \"poor\",\n      \"name\": \"leonardo dicaprio\"\n    },\n    {\n      \"last_performance\": \"outstanding\",\n      \"name\": \"natalie portman\"\n    },\n    {\n      \"last_performance\": \"satisfactory\",\n      \"name\": \"brad pitt\"\n    },\n    {\n      \"last_performance\": \"impressive\",\n      \"name\": \"scarlett johansson\"\n    },\n    {\n      \"last_performance\": \"mediocre\",\n      \"name\": \"chris hemsworth\"\n    },\n    {\n      \"last_performance\": \"superb\",\n      \"name\": \"angelina jolie\"\n    }\n  ]\n}", "idx": 31922}
{"context": "CREATE TABLE table_name_34 (release_date VARCHAR, type VARCHAR)", "sql_query": "select release_date from table_name_34 where type = '2d'", "question": "Which Release date has a Type of 2d?", "data_table": "{\n  \"table_name_34\": [\n    {\n      \"release_date\": \"2021-01-01\",\n      \"type\": \"2d\"\n    },\n    {\n      \"release_date\": \"2021-02-15\",\n      \"type\": \"3d\"\n    },\n    {\n      \"release_date\": \"2021-03-10\",\n      \"type\": \"2d\"\n    },\n    {\n      \"release_date\": \"2021-04-20\",\n      \"type\": \"4d\"\n    },\n    {\n      \"release_date\": \"2021-05-05\",\n      \"type\": \"2d\"\n    },\n    {\n      \"release_date\": \"2021-06-30\",\n      \"type\": \"3d\"\n    },\n    {\n      \"release_date\": \"2021-07-15\",\n      \"type\": \"2d\"\n    },\n    {\n      \"release_date\": \"2021-08-25\",\n      \"type\": \"4d\"\n    },\n    {\n      \"release_date\": \"2021-09-10\",\n      \"type\": \"2d\"\n    },\n    {\n      \"release_date\": \"2021-10-31\",\n      \"type\": \"3d\"\n    }\n  ]\n}", "idx": 31925}
{"context": "CREATE TABLE table_2196127_1 (manufacturer VARCHAR, driver VARCHAR, date VARCHAR)", "sql_query": "select manufacturer from table_2196127_1 where driver = 'matt kenseth' and date = 'march 7'", "question": "Who was the manufacturer for Matt Kenseth on March 7?", "data_table": "{\n  \"table_2196127_1\": [\n    {\n      \"manufacturer\": \"ford\",\n      \"driver\": \"matt kenseth\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"chevrolet\",\n      \"driver\": \"jimmie johnson\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"toyota\",\n      \"driver\": \"kyle busch\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"ford\",\n      \"driver\": \"brad keselowski\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"chevrolet\",\n      \"driver\": \"kevin harvick\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"toyota\",\n      \"driver\": \"denny hamlin\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"ford\",\n      \"driver\": \"joey logano\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"chevrolet\",\n      \"driver\": \"chase elliott\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"toyota\",\n      \"driver\": \"martin truex jr.\",\n      \"date\": \"march 7\"\n    },\n    {\n      \"manufacturer\": \"ford\",\n      \"driver\": \"ryan blaney\",\n      \"date\": \"march 7\"\n    }\n  ]\n}", "idx": 31926}
{"context": "CREATE TABLE table_1140085_2 (rnd VARCHAR, pole_position VARCHAR, race VARCHAR)", "sql_query": "select count(rnd) from table_1140085_2 where pole_position = 'niki lauda' and race = 'monaco grand prix'", "question": "how many times is the pole position niki lauda and the race is monaco grand prix?", "data_table": "{\n  \"table_1140085_2\": [\n    {\n      \"rnd\": \"abc123\",\n      \"pole_position\": \"niki lauda\",\n      \"race\": \"monaco grand prix\"\n    },\n    {\n      \"rnd\": \"def456\",\n      \"pole_position\": \"sebastian vettel\",\n      \"race\": \"monaco grand prix\"\n    },\n    {\n      \"rnd\": \"ghi789\",\n      \"pole_position\": \"lewis hamilton\",\n      \"race\": \"monaco grand prix\"\n    },\n    {\n      \"rnd\": \"jkl012\",\n      \"pole_position\": \"niki lauda\",\n      \"race\": \"italian grand prix\"\n    },\n    {\n      \"rnd\": \"mno345\",\n      \"pole_position\": \"sebastian vettel\",\n      \"race\": \"italian grand prix\"\n    },\n    {\n      \"rnd\": \"pqr678\",\n      \"pole_position\": \"lewis hamilton\",\n      \"race\": \"italian grand prix\"\n    },\n    {\n      \"rnd\": \"stu901\",\n      \"pole_position\": \"niki lauda\",\n      \"race\": \"british grand prix\"\n    },\n    {\n      \"rnd\": \"vwx234\",\n      \"pole_position\": \"sebastian vettel\",\n      \"race\": \"british grand prix\"\n    },\n    {\n      \"rnd\": \"yz567\",\n      \"pole_position\": \"lewis hamilton\",\n      \"race\": \"british grand prix\"\n    },\n    {\n      \"rnd\": \"123890\",\n      \"pole_position\": \"niki lauda\",\n      \"race\": \"german grand prix\"\n    }\n  ]\n}", "idx": 31927}
{"context": "CREATE TABLE table_name_39 (position VARCHAR, points VARCHAR)", "sql_query": "select position from table_name_39 where points = '792'", "question": "What is the position of the winner with 792 points?", "data_table": "{\n  \"table_name_39\": [\n    {\n      \"position\": \"forward\",\n      \"points\": \"792\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"points\": \"600\"\n    },\n    {\n      \"position\": \"defender\",\n      \"points\": \"400\"\n    },\n    {\n      \"position\": \"goalkeeper\",\n      \"points\": \"200\"\n    },\n    {\n      \"position\": \"forward\",\n      \"points\": \"792\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"points\": \"500\"\n    },\n    {\n      \"position\": \"defender\",\n      \"points\": \"300\"\n    },\n    {\n      \"position\": \"goalkeeper\",\n      \"points\": \"100\"\n    },\n    {\n      \"position\": \"forward\",\n      \"points\": \"792\"\n    },\n    {\n      \"position\": \"midfielder\",\n      \"points\": \"400\"\n    }\n  ]\n}", "idx": 31928}
{"context": "CREATE TABLE table_name_3 (party VARCHAR, left_office VARCHAR)", "sql_query": "select party from table_name_3 where left_office = '26 november 2002'", "question": "What is the party of the minister who left office on 26 November 2002?", "data_table": "{\n  \"table_name_3\": [\n    {\n      \"party\": \"democratic\",\n      \"left_office\": \"26 november 2002\"\n    },\n    {\n      \"party\": \"republican\",\n      \"left_office\": \"15 october 2005\"\n    },\n    {\n      \"party\": \"independent\",\n      \"left_office\": \"26 november 2002\"\n    },\n    {\n      \"party\": \"libertarian\",\n      \"left_office\": \"10 december 2008\"\n    },\n    {\n      \"party\": \"green\",\n      \"left_office\": \"26 november 2002\"\n    },\n    {\n      \"party\": \"constitution\",\n      \"left_office\": \"5 september 2011\"\n    },\n    {\n      \"party\": \"socialist\",\n      \"left_office\": \"26 november 2002\"\n    },\n    {\n      \"party\": \"progressive\",\n      \"left_office\": \"26 november 2002\"\n    },\n    {\n      \"party\": \"reform\",\n      \"left_office\": \"26 november 2002\"\n    },\n    {\n      \"party\": \"independent\",\n      \"left_office\": \"18 july 2014\"\n    }\n  ]\n}", "idx": 31929}
{"context": "CREATE TABLE table_26914076_3 (us_viewers__millions_ VARCHAR, story_by VARCHAR)", "sql_query": "select us_viewers__millions_ from table_26914076_3 where story_by = 'david simon & mari kornhauser'", "question": "How many viewers watched the episode with a story by david simon & mari kornhauser?", "data_table": "{\n  \"table_26914076_3\": [\n    {\n      \"us_viewers__millions_\": \"2.5\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"3.2\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"1.8\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"4.1\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"2.9\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"3.7\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"2.2\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"3.5\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"2.6\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    },\n    {\n      \"us_viewers__millions_\": \"3.9\",\n      \"story_by\": \"david simon & mari kornhauser\"\n    }\n  ]\n}", "idx": 31931}
{"context": "CREATE TABLE table_20278716_2 (mccain__percentage VARCHAR, others__percentage VARCHAR)", "sql_query": "select mccain__percentage from table_20278716_2 where others__percentage = '1.1%'", "question": "What percentage of voters chose McCain in the county where 1.1% of voters voted third party?", "data_table": "{\n  \"table_20278716_2\": [\n    {\n      \"mccain__percentage\": \"2.3%\",\n      \"others__percentage\": \"1.1%\"\n    },\n    {\n      \"mccain__percentage\": \"1.8%\",\n      \"others__percentage\": \"0.9%\"\n    },\n    {\n      \"mccain__percentage\": \"3.5%\",\n      \"others__percentage\": \"1.3%\"\n    },\n    {\n      \"mccain__percentage\": \"2.1%\",\n      \"others__percentage\": \"1.5%\"\n    },\n    {\n      \"mccain__percentage\": \"1.6%\",\n      \"others__percentage\": \"1.2%\"\n    },\n    {\n      \"mccain__percentage\": \"2.8%\",\n      \"others__percentage\": \"1.4%\"\n    },\n    {\n      \"mccain__percentage\": \"1.9%\",\n      \"others__percentage\": \"1.0%\"\n    },\n    {\n      \"mccain__percentage\": \"2.6%\",\n      \"others__percentage\": \"1.7%\"\n    },\n    {\n      \"mccain__percentage\": \"2.4%\",\n      \"others__percentage\": \"1.6%\"\n    },\n    {\n      \"mccain__percentage\": \"2.2%\",\n      \"others__percentage\": \"1.8%\"\n    }\n  ]\n}", "idx": 31933}